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Pharmacia’s Corporate Services organisation (which consists of Global Real Estate, Facilities Management, and various other internal service functions) recently commenced an initiative aimed at driving operational excellence throughout all functional areas and geographic sites. Apart from greatly improving both financial and operational results, this initiative also led to the collapse of existing functional and geographic ‘silos’. By breaking down these ‘silos’ (which developed partially as a result of Pharmacia’s recent merger activity), Corporate Services has begun to achieve breakthrough results. These results are largely attributable to the application of a comprehensive, management‐sponsored undertaking, referred to as the Continuous Improvement (CI) Initiative. The CI Initiative has helped to minimise disparity, drive process optimisation and ensure enterprise‐wide alignment with organisational objectives. This paper outlines the various tools, processes and resources that Corporate Services’ management used in design and execution of the CI Initiative. Most notably, the paper describes the use of ‘scorecards’ to communicate and drive performance in a balanced context. Further, the paper provides numerous real‐life examples of how these scorecards are leveraged in the identification and prioritisation of process improvement opportunities.

With the rapid development of technology in the era of digitalization, Industry 4.0 has become a reference for R&D studies in various sectors. The rapid development of technology makes the life of societies and people easier. For this reason, governments tend to develop their technologies and to encourage organizations in this field for this purpose. The concept of Industry 5.0 or Society 5.0 explains the revolution in people's lives with the development of the Fourth Industrial Revolution. Today, many interrelated factors are rapidly preparing people for a complex and volatile future. This situation is accepted as the “new normal” and is defined as VUCA-RR (Volatility, Uncertainty, Complexity, Ambiguity, Rapidity, Radicality). Variability refers to the increasing pace of change, uncertainty, unpredictability in life. Complexity indicates difficulties in relationships in life, and ambiguity indicates difficulties in understanding the events around us. The advancement and widespread use of digital technologies will enable organizations to develop sustainable strategies by providing them with the opportunity to grow by achieving sustainable competitiveness and profit in the VUCA-RR environment.

The purpose of this paper is to examine the impacts of (non-renewable and renewable) energy consumption and trade on environmental pollution in an environmental Kuznets curve (EKC) setting in Turkey for the 1965–2016 period.

Besides conventionally used unit root tests, Zivot–Andrews unit-root test is also employed to account for a possible structural break. To investigate the interrelationships among the variables, the autoregressive distributed lag and the vector error correction methodologies are employed.

The results verify the EKC hypothesis. Moreover, increases in trade and non-renewable energy consumption rise carbon emissions in long run, while renewable energy consumption reduces it in both short- and long-run. The causality analysis reveals that there are bi-directional long-run causalities between non-renewable energy consumption and carbon dioxide emissions, and between trade and carbon dioxide emissions. Additionally, the neutrality hypothesis is valid for the renewable energy consumption-income nexus in both short- and long-run. For the non-renewable energy consumption-income nexus, the neutrality hypothesis holds only in short-run and the conservation hypothesis holds only in long-run.

This is the first study which incorporates both renewable energy consumption and trade into its environmental pollution model for Turkey. Moreover, by investigating short- and long-run causalities among the employed variables, more robust policy implications are put forward. Lastly, this study employs a longer sample period and considers a structural break in its models.

This study focuses on examining the impact of energy consumption, economic structure, population, and manufacturing output on the CO₂ emissions of selected emerging countries by utilizing the Structural Time Series Model (STSM). Based on the annual data ranging from 1970 to 2019, the model is built up using total primary energy consumption, GDP per capita, population and manufacturing value-added, and, finally, a stochastic Underlying Emission Trend as explanatory variables. STSM is extended by the introduction of the notion of Underlying Energy Demand Trend (UEDT) as a factor for exogenous effects, including development in technical progress, energy efficiency improvements, changes in human behaviors, economy, and environmental regulations. In this context, STSM and the notion of UEDT are implemented to form a forecasting model for CO₂ emissions of the selected emerging countries. The model discovers the significant influences of all selected variables of CO₂ emissions. The results suggest that the most forceful factor in CO₂ emissions is the total primary energy supply. Furthermore, while the long-term impact of economic growth on CO₂ emissions is negative for some emerging economies, it is positive for several others. The model also measures the long-term manufacturing value-added elasticity of CO₂ emissions in these emerging economies.

This study examines the criteria for evaluating the quality of servitization and the factors influencing the project–service system's success.

Evidence was collected through three rounds of Delphi consensus with 42 project managers.

The results indicate that the quality of servitization in project-oriented organizations is conceptualized as a cumulative construct driven by the product-service system's overall ability to offer more customer value. This value is defined by three interconnected dimensions: the service, the project and the integration system. The study also proposes a novel customer-oriented quality process with two connected levels comprising eight key factors influencing the quality of the project–service systems and nine key quality criteria that assist in evaluating the project–service systems.

Offering extra services is crucial for successful project-oriented organizations to deliver more customer value. The value of servitization is the combined value of products and services. The failure of one of these components to satisfy customers leads to the collapse of the whole system, which entails the need for a balanced-focus quality system toward projects and services.

This study contributes to the quality of servitization in project-oriented organizations, arguing that a balance between service orientation and project orientation is preferred to increase customer value and reduce the clash and ambiguity between project operations and service provision.

While there are enormous studies on the determinants of environmental degradation, empirical studies on the effect of renewable energy consumption and economic growth on the environment remain limited. The purpose of this paper is to examine the asymmetric effect of renewable energy consumption and economic growth on environmental degradation in 31 selected sub-Saharan African countries spanning from 1990 to 2018.

To examine possible asymmetric effects of the exogenous variables on environmental degradation, we used the panel nonlinear autoregressive distributed lag approach and secondary data was sourced from the World Bank (2021).

The cointegration test results suggest that there is a long-run cointegration among the variables whereas our main findings indicate that environmental degradation responds asymmetrically to changes in renewable energy consumption and economic growth. The results further reveal that both positive and negative shocks in renewable energy consumption reduce environmental degradation. On the other hand, positive and negative shocks in economic growth increase environmental degradation in the long run.

The implications of this study include the need for policymakers in sub-Saharan Africa to encourage the utilization of renewable energy as it reduces environmental degradation. Also, governments in the subregion should gradually replace the usage of fossil fuels by adapting renewable energy sources so as to achieve higher economic growth.

The positive and negative shocks of renewable energy consumption and economic growth on environmental degradation are examined to ascertain their asymmetric relationships.

The purpose of this paper is to provide a survey of the empirical literature on environmental Kuznets curve (EKC) estimation of carbon dioxide (CO₂) emissions over the period of 1991–2017.

This survey categorizes the studies on the basis of power of income in empirical models of EKC. It has been hypothesized that the EKC shows an inverted U-shaped association between economic growth and CO₂ emissions.

For all the contexts, the results of EKC estimation for CO₂ emissions are inconclusive in nature. The reasons behind this discrepancy can be attributed to the choice of contexts, time period, explanatory variables, and methodological adaptation.

The future studies in this context should not only consider new set of variables (e.g. corruption index, social indicators, political scenario, energy research and development expenditures, foreign capital inflows, happiness, population education structure, public investment toward alternate energy exploration, etc.), but also the data set should be refined, so that the EKC estimation issues raised by Stern (2004) can be addressed.

By far, no study in the literature of ecological economics has focused on the empirical estimation of EKC for CO₂ emissions. This particular context has been used for this study, as CO₂ is one of the highest studied pollutants in the ecological economics, and especially within the EKC hypothesis framework.

Building on the conservation of resources (COR) theory, this study aims to explore how overall justice climate (OJC) and cross-cultural psychological capital (CCPsyCap) help highly skilled expatriates develop creative behaviours despite disruptive global macro-events. This topic has not been extensively researched in the context of expatriation, especially amongst self-initiated expatriates (SIEs) from the Middle East and North Africa (MENA) countries.

The data were collected through a web-based questionnaire from 307 SIEs coming from the MENA region and working in different sectors of the Kingdom of Saudi Arabia. The responses were analysed via partial least squares-structural equation modelling (PLS-SEM).

Empirical evidence shows that no significant direct correlation exists between the OJC and the creativity of SIEs. However, the results demonstrate that this relationship was completely mediated by CCPsyCap.

The context of high uncertainty may limit individuals' cognitive abilities amongst individuals, in turn, reducing their level of creativity. In this regard, this study identifies the need for host organisations to develop fair human resource policies to enhance creative behaviours amongst SIEs in such a context. It also underlines the role of psychological resources as a coping mechanism that helps those expatriates cope with the diverse challenges of their international assignments.

This study offers new theoretical support for understanding how the combination of OJC and psychological resources constitutes a springboard for enhancing SIEs' creativity in a context of hardship. This study also advances the COR theory by adopting a “cross-level resources caravans” approach.

To review the state-of-the-art in smart remanufacturing, highlighting key elements of an Industry 4.0 (I4.0) future that supports circular economy (CE) principles and offer a conceptual framework and research agenda to accelerate digitalisation in this sector.

The Scopus, Web of Science and ScienceDirect databases and search terms “Industry 4.0”, “Internet of things”, “Smart manufacturing” and “Remanufacturing” were used to identify and select publications that had evidence of a relationship between those keywords. The 329 selected papers were reviewed with respect to the triple bottom line (economic, social and environmental). The study benefited from advanced text quantitative processing using NVivo software and a complete manual qualitative assessment.

Changes in product ownership models will affect the remanufacturing industry, with the growth of product-service-systems seen as an opportunity to re-circulate resources and create value. This is being supported by changes in society, user expectations and workforce attributes. Key to the success of remanufacturing in an I4.0 future is the uptake of existing and emerging digital technologies to shorten and strengthen links between product manufacturers, users and remanufacturers.

Remanufacturing is recognised as a key CE strategy, which in turn is an important research area for development in our society. This article is the first to study “smart remanufacturing” for the CE. Its uniqueness lies in its focus on the remanufacturing industry and the sustainable application of I4.0 enablers. The findings are used to create a framework that links to the research agenda needed to realise smart remanufacturing.

The aggregate index and per capita index have different meanings for some countries or regions. CO₂ emissions per capita matters for China because of its huge population. Therefore, this study aims to deepen the understanding of Kuznets curve from the perspective of CO₂ emissions per capita. In this study, mathematical formulas will be derived and verified.

First, this study verified the existing problems with the environmental Kuznets curve (EKC) through multiple regression. Second, this study developed a theoretical derivation with the Solow model and balanced growth and explained the underlying principles of the EKC’s shape. Finally, this study quantitatively analyzed the influencing factors.

The CO₂ emission per capita is related to the per capita GDP, nonfossil energy and total factor productivity (TFP). Empirical results support the EKC hypothesis. When the proportion of nonfossil and TFP increase by 1%, the per capita CO₂ decrease by 0.041 t and 1.79 t, respectively. The growth rate of CO₂ emissions per capita is determined by the difference between the growth rate of output per capita and the sum of efficiency and structural growth rates. To achieve the CO₂ emission intensity target and economic growth target, the growth rate of per capita CO₂ emissions must fall within the range of [−0.92%, 6.1%].

Inspired by the EKC and balanced growth, this study investigated the relationships between China’s environmental variables (empirical analysis) and developed a theoretical background (macro-theoretical derivation) through formula-based derivation, the results of which are universally valuable and provide policymakers with a newly integrated view of emission reduction and balanced development to address the challenges associated with climate change caused by energy.