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The generic nature of business excellence models and arbitrary approaches followed by organizations to achieve excellence has triggered new approaches to attain excellence; one such approach is to have country- and industry-specific model. World Energy Council has developed an Energy Trilemma Index, which gives relative energy performances of almost 125 countries based on comprehensive energy matrix (affordability, availability and environment impact). Presently, India ranks at 91 as per this index thereby making this sector prudent case for specific excellence model for sector’s overall excellence. The purpose of this paper is to propose European Foundation for Quality Management (EFQM) model with Indian thermal power generating sector specific factors.

The study followed a research approach that combines literature review, qualitative and quantitative techniques. This includes analysis of the literature related to the subject, qualitative analysis to validate gap areas around EFQM model and identify factors critical to Indian thermal power sector. Quantitative analysis was done using SmartPLS 3.2.7 software for structural equation modeling–partial least square.

The research proposes inclusion of Indian thermal power generating sector specific factors in EFQM model, which in turn portrays balanced set of results and corresponding enablers for achieving excellence in the sector. The biggest take away will be sustained and effective contribution toward society and environment by this sector.

This is first of its kind study in India and globally for thermal power generating sector. It will trigger quality consciousness among power generating companies. For India, such excellence mission will definitely help nation to improve efforts toward 24×7 electricity and electricity to all.

The purpose of this paper is to examine and compare the impact of oil and gas prices shocks on the non-performing loans (NPLs) of banks at the aggregate as well as at the level of commercial and Islamic banks in Qatar over the period 2000-2016.

Using the West Texas Intermediate Database, BankScope Database, World Bank’s World Development Indicators Database, and International Monetary Fund Database, the authors use a one-step system generalized method of moments dynamic model to examine and compare the association between oil and gas prices shocks with NPLs in Qatari banks. The authors also test the hypotheses of direct and indirect impacts of oil price shocks and gas price shocks on bank NPLs.

The results indicate that oil price shocks and gas price shocks do not have directly affect NPLs of Qatari banks at the aggregate level, while they have indirect effects that are channeled through the country-specific macroeconomic and institutional factors. The authors find that oil and gas prices shocks affect NPLs of Qatari Islamic banks directly through extended oil and gas-related cash flows, while their impact on the NPLs of Qatari commercial banks is indirect. In other words, Islamic banks in Qatar greatly benefits from increased cash flow caused by the rise in the oil and gas prices, which make their NPLs, much lower than that in commercial banks. Better capital cushion, better managerial efficiency, better risk management, and liquidity management systems should be used by the Islamic banks in Qatar to expand their customer base. The authors also find that positive fiscal stance of the government reduces the NPLs in both commercial and Islamic banks.

The results of this study necessitate policy measures that can counter the effects of changes in oil and gas prices on the growth of bank NPLs.

It is widely recognized that oil and gas prices and the level of production are of great importance to the economic development of oil and gas-exporting countries. So far, however, no econometric study has been reported in the literature which analyses and compares the impact of oil and gas prices shocks on the NPLs of commercial and Islamic banks and also at the aggregate level in any of the oil economies. Thus, this study provides the first empirical evidence on distinct direct and indirect channels through which oil and gas prices shocks may affect bank NPLs.

This study investigates the validity of Ferreira et al.’s (2020) Organizational Bullshit Perception Scale by examining its distinctiveness from similar constructs (perceptions of organizational politics, organizational cynicism, procedural justice) and its predictive validity through its relations with important organizational attitudes (organizational identification) and behaviors (counterproductive work behavior and organizational citizenship behavior). This study also examines the moderating effects of honesty–humility on the relations between organizational bullshit perception and the outcomes of counterproductive work behavior, organizational citizenship behavior and organizational identification. Finally, this study examines the incremental validity of organizational bullshit perception in predicting counterproductive work behavior, organizational citizenship behavior and organizational identification above and beyond similar constructs in an exploratory fashion.

Survey data were collected from a sample of working adults online via Amazon’s Mechanical Turk platform across two waves (final N = 323 for wave 1 and 174 for wave 2), one month apart.

The results indicate that organizational bullshit perception, as measured by Ferreira et al.’s (2020) scale, represents a distinct construct that has statistically significant relations with counterproductive work behavior, organizational citizenship behavior and organizational identification, even after controlling for procedural justice, organizational cynicism and perceptions of organizational politics. The results, however, showed no support for honesty–humility as a moderator.

These findings suggest that organizations can benefit from assessing and working to alleviate their employees’ perceptions of organizational bullshit. This construct predicts behaviors and attitudes important for organizational functioning.

This study adds to Ferreira et al.’s (2020) original work by demonstrating organizational bullshit perception’s distinctiveness from existing constructs in the literature and its implications for organizations and their employees.

The origin and nature of meaningful, persistent firm-specific differences is a central issue in the study of business strategy. I investigate in this paper the role of characteristics physically external to firms, but embodied in their local geographic areas, in driving differences in firms’ organizing strategies. Specifically, I examine the extent to which location-specific characteristics affect the organization of pharmaceutical firms’ research laboratories bringing both qualitative and quantitative evidence to bear on this issue. Analyses of the histories of several late 19th century drug makers suggest that differences in local institutions, labor markets, and demand structures played important roles in affecting case firms’ strategic evolution. For example, while Mulford (Philadelphia PA) exploited the strength of nearby universities and the city’s public health system in organizing around leading-edge capabilities in bacteriology, Sterling (Wheeling WV) found that its local environment rewarded investments in marketing and distribution. Panel data analysis on a sample of firms from the late 20th century provides complementary evidence, demonstrating that the scientific orientation of modern drug discovery laboratories is positively and significantly correlated with measures of the strength of the local scientific and technical base. Together, these analyses suggest that location-specific characteristics may be important in driving firm heterogeneity and, ultimately, competitive advantage.

The purpose of this paper is to investigate and compare the impact of oil and gas prices changes on bank deposits at the aggregate as well as at the level of commercial and Islamic banks in Qatar over the period 2000–2016.

Using the BankScope Database as well as bank-level balance sheet and financial statements data, the authors use one-step system GMM dynamic model to examine and compare the association between oil and gas prices changes with bank deposits in Qatar. The authors also test hypotheses of direct and indirect impacts of oil and gas prices changes on bank deposits.

The results indicate that oil and gas prices changes have a direct impact on deposits of banks at the aggregate level in Qatar. However, the authors find that oil and gas price changes significantly affect deposits of Qatari commercial banks directly prompting enhanced lending by banks and the consequent business activities in the economy, while their impact on the deposits of Qatari Islamic banks is indirect, i.e. the impact is permeated through the macroeconomic and institutional characteristics of the country that are reinforced by the growing expectations and commercial sentiment of the country. The authors find that significant association between oil price changes and deposit growth during the global financial crisis 2008 has been distorted. However, the authors find that there was a sharp rise in the deposits of Islamic banks during the period of global financial crisis.

The results of this study necessitate policy measures that can counter the effects of changes in oil and gas prices on the effectiveness of bank deposits.

It is widely recognized that oil and gas prices and the level of production are of great importance to the economic development of oil and gas exporting countries. So far, however, no econometric study has been reported in the literature which analyses and compares the impact of oil and gas prices changes on bank deposits of commercial and Islamic banks and also at the aggregate level in any of the oil-exporting economies. Thus, this study provides the first empirical evidence on distinct direct and indirect channels through which oil and gas prices changes may affect bank deposits.

The aim of the paper is to investigate some dynamic aspects of the smooth adjustment hypothesis (SAH) associated with intra‐industry trade (IIT). The structure of trade expansion in Hungary and Poland over the period 1990‐1998 and its implications for labour market adjustment is examined.

The paper applies an econometric approach and considers three‐digit International Standard Industry Classification classified data. The paper uses a model developed by recent empirical literature, both in static and dynamic forms and tests whether the results are sensitive for the choice of length of period and marginal intra‐industry indices.

The econometric analysis suggests that changes in domestic consumption and productivity have significant influence on employment changes. Significant and negative relationships were found between trade openness and employment changes. The calculations provide some evidence to support SAH, especially for Poland. However, the effects of IIT on employment changes are small especially to additional hypotheses. The estimations show that partial trade liberalisation in Hungary and Poland has led to lower adjustment costs.

The paper is one of the first to focus on labour market adjustment costs in transition countries. Its results also reveal that the estimations on the impacts of trade liberalisations should be interpreted only with care due to sensitivity on the length of time period and applied econometric techniques.

The relationships between the Big Five personality traits and life and job satisfaction have been examined extensively. Despite this attention, however, most existing theories focus on a few global dimensions of the Big Five while relying primarily upon a selection of theoretically relevant but unmeasured facets to illuminate their factor-level explanations. The purpose of this paper is to examine personality–satisfaction relationships for job and life domains at the facet level to better identify and explain why certain global Big Five traits consistently relate to satisfaction, taking both factors and facets into account.

Data from over 20 specific occupational samples were pooled meta-analytically to examine personality facet of job/life satisfaction relationships and their generalizability. Bifactor latent variable modeling using meta-analytic input was used to examine independent contributions of general and unique personality facets.

The dominance facet of extraversion, low self-esteem facet of neuroticism, and responsibility facet of conscientiousness were most closely related to satisfaction variables. There were independent contributions of general and unique facet level personality–satisfaction relations for the neuroticism and conscientiousness domains, but not for the extraversion domain.

Findings contribute to the literature on the bandwidth–fidelity dilemma in measuring personality and theories involving personality at work.

This study established the generalizability of Big Five traits–satisfaction relations and identified the empirically supported personality paths to understanding job and life satisfaction. This study also demonstrated how meta-analysis can be combined with bifactor models to understand substantive relations.

This chapter is intended to investigate the ramifications of foreign trade regime on the technological front in relation with the impact of between trade liberalization on the process of skill formation in dual economy setting and thereby, the wage dynamics facing the skilled and unskilled labor. The ideation toward this end is owed to the seminal literature concerning the connection between free trade and economic dualism, general and the implication of such nexus on skilling process, in particular. Hence, based on the above dispensation, it may be possible to analyze the consequence of free trade on knowledge economy (wherein, the knowledge essentially purports to technical skill, proficiency in various aspects of work and perhaps, to some extent, the case of innovation) and additionally, what it impinges on welfare and economic development for less developed countries. The theoretical underpinning of the baseline model is based basically on the dualistic structure of the economy with regional specifications of the factors. In this framework, it has been examined that under the condition liberal trade policy in a less developed country, featured by reduced tariff, how it makes up for the formation of knowledge capital in the presence of technology-intensive export sector employed skilled and, in such process, if wage inequality gets exacerbated or otherwise. This is further drawn to investigating the implicit change in the propensity of rural–urban migration of unskilled labor, consequent upon the escalation openness to foreign trade; in what holds out significantly as regards the persistence of economic dualism, in general and balanced growth phenomenon between urban and rural sectors, in particular.