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The present study aimed at analyzing the hypothesized relationship between human resource (HR) flexibility and firm performance with the mediating effect of firm innovation and the moderating role of firm-level power distance orientation.

The proposed hypotheses were tested with the two-wave data collected from 209 registered information technology (IT) firms operating in Pakistan. The SMART-PLS examined the model’s hypothesized moderated, mediated and moderated-mediation relationships.

The results confirmed significant relationships between HR flexibility, firm innovation and performance while showing that the link between HR flexibility and firm performance is mediated by firm innovation. The results demonstrated that the firm-level power distance orientation negatively affected the HR flexibility–firm innovation link. These findings provide implications on how HR flexibility leverages firm innovation and performance. However, a power distance orientation in firms may diminish the positive effect of HR flexibility.

HR practitioners and top management can leverage these findings to design and implement policies that promote HR flexibility within IT firms for superior innovation and performance.

Our study offers valuable insights into the contribution of HR flexibility to firm innovation and performance. Specifically, the findings indicate that power distance orientation negatively affects the relationships between HR flexibility, firm innovation and performance. Therefore, HR practitioners and top management can leverage these findings to design and implement policies that promote HR flexibility within IT firms for superior innovation and performance.

Extant research documents the cost benefits of group purchasing organizations (GPOs) to member hospitals, but understudies concerns about the market dominance of a few large GPOs and the relatively weakened buyer power of hospitals in the US healthcare product supply chain. To fill the gap in the literature, this study investigates whether GPO size and a hospital’s relative power to its GPO affect the hospital’s supply expenses, and whether and how system membership moderates the power–performance link.

For this study, we collect the panel data from various secondary sources on GPO–hospital dyads, which include the seven largest GPOs and their 2,590 unique acute care hospital members in 51 states over the period of 2009–2017. To address the endogeneity issue associated with simultaneity, we establish a one-year time lag between dependent and independent variables and analyzed the 15,527 hospital-year observations using the time-series regression with fixed-effect.

We find that a hospital’s relative power to its GPO is the most critical factor to reduce its supply cost while GPO size has no effects. We also find that a nonsystem hospital achieves greater cost savings by leveraging its relative power to its GPO while a system hospital gains no benefits.

To the best of our knowledge, this study is the first to address the paradox of GPO size and a hospital’s relative power and the moderating role of system membership for the hospital’s purchasing efficiency using a large nation-wide dataset of US hospitals–GPO dyads.

The purpose of this paper is to study how CEO power impact corporate tax avoidance. In particular, this paper aims to empirically examine the moderating impact of institutional ownership on the relationship between CEO power and corporate tax avoidance.

The multivariate regression model is used for hypothesis testing using a sample of 308 firm-year observations of Tunisian listed companies during the 2013-2019 period.

The results show that CEO power is negatively associated with corporate tax avoidance and that institutional ownership significantly accentuates the CEO power’s effect on corporate tax avoidance. This implies that CEOs, when monitored by institutional investors, behave less opportunistically resulting in less tax avoidance.

Our findings have significant implications for managers, legislators, tax authorities and shareholders. They showed that CEO duality, tenure and ownership can mitigate the corporate tax avoidance in Tunisian companies. These findings can, hence, guide the development of future regulations and policies. Moreover, our results provide evidence that owning of shares by institutional investors is beneficial for reducing corporate tax avoidance. Thus, policymakers and regulatory bodies should consider adding regulations to the structure of corporate ownership to promote institutional ownership and consequently control corporate tax avoidance in Tunisian companies.

This study differs from prior studies in several ways. First, it addressed the emerging market, namely the Tunisian one. Knowing the notable differences in institutional setting and corporate governance structure between developed and emerging markets, this study will shed additional light in this area. Second, it proposes the establishment of a moderated relationship between CEO power and corporate tax avoidance around institutional ownership. Unlike prior studies that only examined the simple relationship between CEO power and corporate tax avoidance, this study went further to investigate how institutional ownership potentially moderates this relationship.

This paper presents the determination of the maximum power point of a bifacial photovoltaic (PV) system using two different cell models. The optimal power point is determined by using genetic algorithm (GA), as an optimisation tool. The purpose of this paper is to find which of the two analysed models gives better results in the determination of the maximum power point of a bifacial PV system for different solar irradiations. The quality of the results gained from both models is analysed based on the value of the objective function.

In this research work, the maximum power point of bifacial PV modules is determined by using two different PV cell models, such as the simplified and two-diode models of PV cells. Based on the input electrical data for the analysed bifacial PV module as well as the mathematical model of the two PV cell presentations, the values for the current and the voltage at the maximum power point for a given solar irradiation and working temperature are determined by the algorithm for each solution in the population and generation.

From the presented results and the performed analysis, it can be concluded that GA is quite appropriate for this purpose and gives adequate results for both models and for all working conditions. The two-diode model was found to be more suitable compared with the simplified model due to its complexity. Therefore, although the power difference for each of the scenarios for the two compared models does not differ significantly among the two models, it is in favour of the two-diode model. Which implicates that the for fast and simple calculation the simplified model can also do the job.

This approach can be very successfully applied in the design process of a PV plant to forecast the output characteristics of the PV system if there is enough information about the weather conditions for a given location. This procedure can be very helpful in the process of selection of right PV module and inverter for a given location.

An optimisation technique using GA as an optimisation tool has been developed and successfully applied in the determination of the maximum power point for a bifacial PV module using to different models of solar cell. The results are compared with the analytically determined values as well as with the values given from the producer and they show good agreement.

Creativity plays a crucial role in interpersonal conflict within organizations, yet little research has explored its antecedents in this context. This study aims to investigate power and gender as the main determinants of creativity in interpersonal conflict within organizational contexts.

Two studies were conducted. The first study involved 226 employees from various organizations (M_age = 39.39, SD = 10.39), whereas the second study used a conflict simulation with 160 participants (M_age = 36.90, SD = 10.45) forming dyads. Both studies investigated the impact of relative power (i.e. having more power than the other person) on creativity in conflict, with a focus on the moderating role of gender. Study 2 also manipulated contextual creativity, which served as an additional moderator in this relationship.

Results largely supported our hypotheses, indicating a positive relationship between relative power and creativity in conflict. Importantly, this relationship was stronger among women. Study 2 further focused on the distinct dimensions of creativity, highlighting differences between idea originality and effectiveness.

The findings hold practical significance for organizational leaders and conflict resolution practitioners, and they further underscore the importance of considering gender dynamics in conflict resolution processes within organizations.

This research contributes novel insights into the understanding of creativity within organizational conflicts, emphasizing the interplay between relative power, gender and creativity. Additionally, the exploration of different dimensions of creativity (i.e. originality and effectiveness) adds depth to existing literature in this area.

The study evaluates the influence of human capital efficiency (HCE) and market power on bank performance.

The study employs two measures of bank performance: profitability and stability. Unbalanced panel data of 35 banks operating in Kenya for 2005–2020 collected from published financial statements is utilized. The study employs the feasible generalized least squares (FGLS) method in the analysis and the two-step system generalized method of moments (GMM) for robustness check.

The study affirms an inverted U-shaped relationship between market power and bank performance. The effect of market power on bank profitability is enhanced when a bank has highly efficient human capital. Further, HCE significantly impacts bank stability for banks with low HCE. Interestingly, a further increase in HCE narrows the net interest margins for banks with high HCE, conferring welfare benefits to customers as interest rate spreads shrink.

This study provides important insights into the role of human capital in bank performance. First, banks ought to invest in promoting HCE through training and development. As regulators root for bank consolidation, attention to HCE is imperative for fostering profitability and stability.

The study fills an essential gap in the literature by evaluating the effect of firm-level market power on bank performance in an emerging market. We adopt a novel stochastic frontier estimator to generate the Lerner index. Further, this is the first study known to the authors to evaluate the effect of market power on bank performance in the context of human capital efficiency variations.

In this essay, a new NDAGM(1,N,α) power model is recommended to resolve the hassle of the distinction between old and new information, and the complicated nonlinear traits between sequences in real behavior systems.

Firstly, the correlation aspect sequence is screened via a grey integrated correlation degree, and the damped cumulative generating operator and power index are introduced to define the new model. Then the non-structural parameters are optimized through the genetic algorithm. Finally, the pattern is utilized for the prediction of China’s natural gas consumption, and in contrast with other models.

By altering the unknown parameters of the model, theoretical deduction has been carried out on the newly constructed model. It has been discovered that the new model can be interchanged with the traditional grey model, indicating that the model proposed in this article possesses strong compatibility. In the case study, the NDAGM(1,N,α) power model demonstrates superior integrated performance compared to the benchmark models, which indirectly reflects the model’s heightened sensitivity to disparities between new and old information, as well as its ability to handle complex linear issues.

This paper provides a scientifically valid forecast model for predicting natural gas consumption. The forecast results can offer a theoretical foundation for the formulation of national strategies and related policies regarding natural gas import and export.

The primary contribution of this article is the proposition of a grey multivariate prediction model, which accommodates both new and historical information and is applicable to complex nonlinear scenarios. In addition, the predictive performance of the model has been enhanced by employing a genetic algorithm to search for the optimal power exponent.

This study aims to investigate whether various types of risks faced by the publicly listed commercial banks of India and Bangladesh are driven by market power and provides comparative insights from both economies.

By using the adjusted Lerner index to gauge bank market power and applying the generalised methods of moments (GMM) regression approach, the research delved into the relationship between bank market power and three distinct facets of risk across a sample of 26 publicly listed commercial banks in India and 22 listed banks in Bangladesh spanning from 2011 to 2022.

The results indicate that for Bangladesh, both “competition fragility” and “competition stability” viewpoints coexist simultaneously across all risk types, supporting a nonlinear relationship between market power and risk. However, in the Indian context, a nonlinear association exists only in the case of credit risk, while the relationship with insolvency risk is linear, substantiating the “competition fragility view”. Apart from market power and bank-specific variables, GDP growth rate has emerged as a prominent driver across all risk categories in both countries.

The filtration of banks is a limitation that might have influenced the outcomes. This study recommends that the Reserve Bank of India encourages further bank consolidation. Along the same line, Bangladesh Bank should closely oversee the growing competitive landscape. Furthermore, the regulators must monitor the elevated levels of non-performing loans to reduce credit risk so as to bolster the stability of their respective banking sectors.

This comparative study is the first attempt to analyse the market power and risk relationship and includes a novel bank-specific variable, i.e. technology, apart from other established variables.