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Several studies have examined the effect of formal economy (usually proxy by economic growth) on environmental quality; however, the symmetric and asymmetric impact of the informal economy on environmental quality has not been examined in Nigeria. Therefore, this study aims to explore the short- and long-run (a)symmetric effect of formal and informal economies and financial development on Nigeria’s environmental quality between 1984 and 2017.

The study uses ecological footprint to measure environmental quality. An increase in ecological footprint suggests a fall in environmental quality. Informal economy is calculated as a percentage of GDP using the currency demand approach. Autoregressive distributed lag (ARDL), nonlinear ARDL cointegration framework and vector error correction granger causality are used as estimation techniques.

The study’s outcomes establish the existence of asymmetric structure in the link between economic activities and the environment both in the short and long run. The asymmetric results reveal that positive and negative changes in the formal economy increase the ecological footprint in both periods. Hence, activities in the formal economy reduce environmental quality. On the other hand, positive and negative changes in the informal economy only positively influence the ecological footprint in the long run. In contrast, it negatively impacts the ecological footprint in the short run. This suggests that activities in the informal economy worsen the long-run environmental quality. Financial development has a positive influence on the ecological footprint, thus degrading the environmental quality. Furthermore, in the short run, a unidirectional relationship from the formal economy to the ecological footprint, while a bidirectional causality exists between informal and formal economies. Meanwhile, a unidirectional causality from the (in)formal economies and financial development to the ecological footprint was found in the long run.

The outcome of this study shows that both informal and formal economies contribute to ecological footprint; therefore, mainstreaming the informal economy into the formal economy will further increase the problem of environmental degradation and worsen environmental quality.

The study investigates the symmetric and asymmetric effect of formal and informal economies on environmental quality in Nigeria, which is largely missing in the empirical literature.

This research examines how knowledge management (KM) enablers, i.e. trust, knowledge-oriented leadership, environmental uncertainty and KM processes will impact knowledge worker productivity (KWP). Various formations of the KM enablers and KM processes are also examined within terms of their abilities to enhance KWP.

The research sample is taken from 248 faculty and administrators of Pakistan Higher Educational Institutes (HEIs). The relationships are tested via SmartPLS and fsQCA 3.0.

The results show that there are significant impacts of the KM enablers on KM processes and KWP. Constructed upon fuzzy qualitative comparative analysis (fsQCA), the outcomes exposed various combinations, which can be identified to enhance KWP.

The research supports to methodology by merging two methods to advance the understanding of institutional concerns about workers' productivity. The asymmetric method assists to distinguish the connections that might not be directly clear via traditional symmetric approaches. By uncovering asymmetric relationships, the study identifies a variety of approaches that can be used by HEIs to improve their KWP.

This study aims to propose guidelines for the joint use of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to combine symmetric and asymmetric perspectives in model evaluation, in the hospitality and tourism field.

This study discusses PLS-SEM as a symmetric approach and fsQCA as an asymmetric approach to analyze structural and configurational models. It presents guidelines to conduct an fsQCA based on latent construct scores drawn from PLS-SEM, to assess how configurations of exogenous constructs produce a specific outcome in an endogenous construct.

This research highlights the advantages of combining PLS-SEM and fsQCA to analyze the causal effects of antecedents (i.e., exogenous constructs) on outcomes (i.e., endogenous constructs). The construct scores extracted from the PLS-SEM analysis of a nomological network of constructs provide accurate input for performing fsQCA to identify the sufficient configurations required to predict the outcome(s). Complementing the assessment of the model’s explanatory and predictive power, the fsQCA generates more fine-grained insights into variable relationships, thereby offering the means to reach better managerial conclusions.

The application of PLS-SEM and fsQCA as separate prediction-oriented methods has increased notably in recent years. However, in the absence of clear guidelines, studies applied the methods inconsistently, giving researchers little direction on how to best apply PLS-SEM and fsQCA in tandem. To address this concern, this study provides guidelines for the joint use of PLS-SEM and fsQCA.

The purpose of this study is to explore the moderating role of information technology (IT) practices in the increase of organizational capacity for generating innovation performance from its relational (internal and external) capital and trust capital.

Survey data has been collected from 102 publicly listed enterprises in Taiwan and is analysed by using symmetric structural equation modelling–partial least squares (SEM–PLS) and asymmetric fuzzy set qualitative comparative analysis (fsQCA) techniques.

The findings derived from SEM–PLS show that internal relationships and trust embedded in firms' relationships play a significant role in the innovation performance of Taiwanese enterprises, and reveal a more closed approach to innovation. The results also confirm the important role of IT advancement in amplifying the effect of internal and external relationships and trust formation on innovation performance. One more interesting note, the integration of fsQCA demonstrates several configurations that lead to superior innovation performance.

The study was limited to Taiwanese companies with at least 200 employees. It might well be that the economically significant small business sector has distinct relationships with stakeholders, trust building strategies and IT practices, and that innovation performance depends on other macroeconomic effects. This study combines symmetric (SEM–PLS) and asymmetric (fsQCA) techniques to improve our understanding of the complementarities between relational and trust capital, and IT practices, and identify configurations that could yield organizational benefits for innovation outcomes.

This study provides new knowledge about IT utilization in the workplace which practitioners may use to capitalize on internal and external networks and enhance innovation performance.

Exploring together intellectual capital (IC) components and IT practices, this study merges IC and knowledge management (KM) streams of literature and adds to the prominent discussion on how IC and technology-based KM together contribute to superior innovation performance. In introducing the notion of equifinality, and testing our hypothesis by applying fsQCA, we also provide new ground for methodological discussions in the field of innovation performance.

The purpose of this study is to investigate the effects of comprehensive performance measurement systems (PMS), role clarity and strategic flexibility on the individual creativity of founders/managers of startups.

The research population comprises 611 Brazilian startups in the e-commerce, retail and wholesale segments. One owner/manager of each startup was contacted by the survey, obtaining 91 valid responses. For data analysis, symmetric and asymmetric techniques were applied, respectively: partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis.

The findings show that the comprehensive PMS is an important predictor of individual creativity, role clarity and strategic flexibility. Role clarity has a direct effect on creativity and promotes partial mediation between comprehensive PMS and creativity. Comprehensive PMS and role clarity are of great importance and have high performance in favor of creativity, while strategic flexibility has high performance, but is of low importance. Several causal combinations promote high individual creativity.

It offers founders/managers an insight into the aspects that are worth of efforts to foster individual creativity in their startup.

The key contribution of the study is that the comprehensive PMS, which includes financial, non-financial and other measures for product and process innovation, can directly and indirectly (through role clarity) influence individual creativity.

The changing technological scenario necessitated hybrid journal bearings to operate under severe conditions of heavy load and high speed resulting into temperature rise of the lubricant fluid-film and bearing surface. To predict the performance of a bearing realistically, theoretical model must consider the combined influence of the rise of temperature and non-Newtonian behavior of the lubricant. The aim of the present paper is to study the effect of viscosity variation due to temperature rise and non-Newtonian behavior of the lubricant on performance of constant flow valve compensated multiple hole-entry hybrid journal bearings.

Finite element method has been used to solve Reynolds equation along with restrictor flow equation, 3D energy equation and 3D conduction equation using suitable iterative technique. The non-Newtonian lubricant has been assumed to follow cubic shear stress law.

The thermohydrostatic rheological performances of symmetric and asymmetric hole-entry hybrid journal bearing configurations are studied. The computed results illustrate that variation of viscosity due to rise in temperature and non-Newtonian behavior of the lubricant affects the performance of hole-entry hybrid journal bearing system quite significantly.

In the present work, the influences of the viscosity variation due to temperature rise and non-Newtonian behavior of the lubricant on the performance characteristics of non-recessed hole-entry hybrid journal bearing with symmetric and asymmetric configurations compensated with constant flow valve restrictors have been investigated for generating the design data to be used by bearing designer. The design data computed in the present thesis are a contribution in field of knowledge of bearing design.

This study examines the roles of cross-sectional dependence, asymmetric structure and country-to-country policy variations in the inflation-poverty reduction causal nexus in selected sub-Saharan African (SSA) countries from 1981 to 2019.

To account for cross-sectional dependence, heterogeneity and policy variations across countries in the inflation-poverty reduction causal nexus, this study uses robust Hatemi-J data decomposition procedures and a battery of second-generation techniques. These techniques include cross-sectional dependency tests, panel unit root tests, slope homogeneity tests and the Dumitrescu-Hurlin panel Granger non-causality approach.

Unlike existing studies, the panel and country-specific findings exhibit several dimensions of asymmetric causality in the inflation-poverty nexus. Positive inflationary shocks Granger-causes poverty reduction through investment and employment opportunities that benefit the impoverished in SSA. These findings align with country-specific analyses of Botswana, Cameroon, Gabon, Mauritania, South Africa and Togo. Also, a decline in poverty causes inflation to increase in the Congo Republic, Madagascar, Nigeria, Senegal and Togo. All panel and country-specific analyses reveal at least one dimension of asymmetric causality or another.

All stakeholders and policymakers must pay adequate attention to issues of asymmetric structures, nonlinearities and country-to-country policy variations to address country-specific issues and the socioeconomic problems in the probable causal nexus between the high incidence of extreme poverty and double-digit inflation rates in most SSA countries.

Studies on the inflation-poverty nexus are not uncommon in economic literature. Most existing studies focus on inflation’s effect on poverty. Existing studies that examine the inflation-poverty causal relationship covertly assume no asymmetric structure and nonlinearity. Also, the issues of cross-sectional dependence and heterogeneity are unexplored in the causal link in existing studies. All panel studies covertly impose homogeneous policies on countries in the causality. This study relaxes this supposition by allowing policies to vary across countries in the panel framework. Thus, this study makes three-dimensional contributions to increasing understanding of the inflation-poverty nexus.

These implementations not only generate excessive voltage levels to enhance the quality of power but also include a detailed investigating of the various modulation methods and control schemes for multilevel inverter (MLI) topologies. Reduced harmonic modulation technology is used to produce 11-level output voltage with the production of renewable energy applications. The simulation is done in the MATLAB/Simulink for 11-level symmetric MLI and is correlated with the conventional inverter design.

This paper is focused on investigating the different types of asymmetric, symmetric and hybrid topologies and control methods used for the modular multilevel inverter (MMI) operation. Classical MLI configurations are affected by performance issues such as poor power quality, uneconomic structure and low efficiency.

The variations in both carrier and reference signals and their performance are analyzed for the proposed inverter topologies. The simulation result compares unipolar and bipolar pulse-width modulation (PWM) techniques with total harmonic distortion (THD) results. The solar-fed 11-level MMI is controlled using various modulation strategies, which are connected to marine emergency lighting loads. Various modulation techniques are used to control the solar-fed 11-level MMI, which is connected to marine emergency lighting loads. The entire hardware system is controlled by using SPARTAN 3A field programmable gate array (FPGA) board and the least harmonics are obtained by improving the power quality.

The simulation result compares unipolar and bipolar PWM techniques with THD results. Various modulation techniques are used to control the solar-fed 11-level MMI, which is connected to marine emergency lighting loads. The entire hardware system is controlled by a SPARTAN 3A field programmable gate array (FPGA) board, and the power quality is improved to achieve the lowest harmonics possible.

The purpose of this paper is to examine whether macroeconomic variables have a symmetric or asymmetric effect on stock prices (SP) of Karachi Stock Exchange 100 index in the context of Pakistan. It also examines whether the asymmetric impact of macroeconomic variables on SP has been affected by tail events such as the global financial crisis.

This study uses linear and nonlinear autoregressive distributed lag models for the full sample period as well as in pre- and post-crisis periods. The whole sample period covers the data from June 2004 to June 2016 which include 145 observations in total. The pre-crisis period covers data from June 2004 to December 2007 and the post-crisis period covers the data from January 2009 to June 2016 where these periods include 43 and 90 observations, respectively.

The findings suggest that the relationship between macroeconomic variables and SP is asymmetric in the short run whereas this effect is symmetric in the long run when the whole sample period is selected. However, when pre- and post-crisis periods are selected this effect becomes asymmetric in the long run as well; that is, positive and negative shocks in macroeconomic variables do not affect the SP in the same way.

Investors, governments and other stakeholders are advised to consider the asymmetric behavior of macroeconomic variables and SP while making an investment or other decisions. They may consider the financial crisis as well since the asymmetric behavior of the underlying variables change as a result of the financial crisis.

This study extends previous studies by examining the asymmetric effect of macroeconomic variables and also contributes to the existing literature by discussing how this relationship changes as a result of the financial crisis.

The objective of this chapter is to study the symmetric and asymmetric impact of macroeconomic variables on the Indian stock prices (SPs) of the Bombay Stock Exchange index. This chapter further investigates whether the asymmetric impact of macroeconomic variables on SP is due to the impact of any tail events like the global financial recession. An autoregressive distribution lag and non-autoregressive distribution lag approach is used for the full sample covering the period from January 2000 to June 2019 and later this sample is further subdivided into before and after the crisis period to study the variations in result. The findings show that macroeconomic variables and SP have a symmetric relation in the long run whereas an asymmetric relationship in the short run when the whole sample is analyzed. However when data are segregated into “before and after” crisis period this relationship turns to be asymmetric in long run too, meaning that in the long run, the negative and positive changes in a macroeconomic variable do not affect SPs similarly.