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Drawing upon the natural resource-based view (NRBV), the present study explores the role of green dynamic capability (GDC) as a mediating variable in the relationship between green transformational leadership (GTL) and green innovation (GI) in the hotel industry. The research further assesses green performance (GP) as a resultant factor of GI.

The research was conducted in Italian luxury hotels to assess the efficacy of our conceptual framework among workers in the hospitality industry. The study utilized a three-wave, two-week time-lagged design (N = 303). In addition, the study also intends to apply partial least squares structural equation modeling (PLS-SEM) and fuzzy qualitative comparative analysis (fsQCA) to have distinctive discernment into model rapport.

The results of the study indicate the linkage between GTL and GI. Furthermore, the study also found the partial mediation of GDC. The results show numerous combinations using fsQCA that can be utilized to increase GP.

There is little empirical evidence to study GTL and GI in hospitality studies. This work empirically investigates GTL, GDC and GI relationships to fill a knowledge gap. It also explains undiscovered factors and provides causal recipes to improve GP using fsQCA.

Drawing upon the natural resource-based view (NRBV) and social cognitive theory (SCT), the present study explores the role of green learning orientation (GLO) and green creativity (GC) as a mediating variable in the relationship between green transformational leadership (GTL) and green innovation (GI) in the Italian hotel industry. The research further assesses environmental performance (EP) and corporate green image (CGI) as a resultant factor of GI.

Two studies were conducted in Italy to evaluate theoretical models with workers in the lodging industry. Study 1 employed a three-wave, two-week time-lagged design with a total sample size of 303. Study 2 utilized a two-wave (four-week apart) design, with 349 participants using structural equation modeling.

The research findings emphasize that the enhancement of employees’ GLO and GC can be facilitated by providing GTL. This, in turn, may lead to the enhancement of GI, which improves the EP and CGI of a hotel.

The study comprehensively analyzes the previously unexamined relationships of employee-driven factors associated with GLO and GC. These factors are essential for promoting GI through GTL, ultimately enhancing EP and CGI. Therefore, it contributes by explaining previously unexplored employee and organizational factors in a unified model, utilizing time-lagged data, and enhancing the understanding of how organizations can elevate EP and CGI, particularly within the Italian hospitality sector.

The objective of this investigation is to examine the correlation between green transformational leadership (GTL) and organizational green innovation (GI) by employing a mediation model. Drawing upon the social cognitive theory and natural resource-based view, the present study explores the role of green creativity (GC) as a mediating variable in the relationship between GTL and GI in the hotel industry.

The research was conducted in Italian luxury hotels to assess the efficacy of our conceptual framework among workers in the hospitality industry. The study utilized a three-wave 2-week time-lagged design (N = 303). In addition, the study also intends to apply the Partial Least Squares – Structural Equation Modelling (PLS-SEM) and the fuzzy qualitative comparative analysis (fsQCA) to have distinctive discernment into model rapport.

The results of the study indicate the linkage between GTL and GI. Furthermore, the study also found the partial mediation of GC of employees. The results show numerous combinations using fsQCA that can be utilized to increase green performance (GP).

The study helps the hotel industry maximize its performance by unravelling irregular relationships. Therefore, it contributes by explaining previously unexplored factors and elucidating causal recipes to build a higher GP base through GTL, GC and GI. The research findings hold significant implications for comprehending the effects of GTL on organizational GI as well as its influence on GP. The limitations of the study are discussed for avenues of future research.

The rapid evolution of digital innovation has significantly revolutionized the business landscape for entrepreneurs. Embracing digital innovation is crucial for all stakeholders to achieve sustainable development goals (SDGs) and promote sustainability. However, there is little understanding of how entrepreneurial leadership in developing nations has proactively responded to the challenge of digital innovation. Based on Drucker’s productivity theory, this study examines the relationship between entrepreneurial leadership (EL), digital orientation (DO) and digital capability (DC) as predictors of digital innovation (DI). The proposed model aims to establish the causal connections between variables and elucidate the complex interplay between digital innovation and the resulting outcome of sustainable performance (SP).

Two research studies were carried out in the Chinese IT industry to assess the efficacy of the theoretical framework among IT workers. Study 1 utilized a three-week, two-week time-lagged design (N = 299), while Study 2 used a two-week, four-week survey design (N = 341). The study used Smart-PLS 4.0 for data analysis.

The results showed that entrepreneurial leadership significantly impacts employee digital orientation and digital capabilities, fostering digital innovation. Moreover, digital innovation has a significant impact on sustainable performance.

The study’s findings allow authors to contribute to the existing scholarship on employee digital orientation, digital capabilities, digital innovation and sustainable performance in an emerging economy.

Based on the knowledge-based view (KBV) and theory of planned behavior (TPB), the study aims to investigate the impact of sustainable leadership (SL) on knowledge management processes (KMPs) and the direct influence of KMPs on sustainable competitive advantage (SCA). Additionally, it aims to explore the mediating role of knowledge worker social responsibility (KWSR) in the relationship between KMPs and SCA. Furthermore, this study aims to evaluate the moderating effect of knowledge sabotage behavior (KSB) on the relationship between KMPs and KWSR.

The sample frame consisted of 354 academic and administrative workers from Pakistan’s higher education institutions. The hypothesized relationships were tested using the PLS-SEM approach.

The study found a significant positive effect of SL on KMPs as well as KMPs on SCA. Partial mediation of knowledge worker social responsibility between knowledge management processes and sustainable competitive advantage was confirmed. Furthermore, our findings indicate the negative moderating effect of knowledge sabotage behavior on the relationship between KMPs and KWSR.

The outcomes of this research strengthen the universities’ experience of Leadership and recommend how academics and administrators of higher education institutes can value knowledge management, which improves competitive advantage.

The originality of the study lies in elucidating the direct relationship of SL & KMPs with the moderating role of KSB in the link between KMPs and KWSR and the mediating effect of KWSR on the relationship between KMPs and SCA in the setting of higher education institutions (HEIs) in Pakistan. Furthermore, this study provides in-depth insights into the existing body of knowledge on the KBV and TPB about SL, KMPs, and SCA.

The study seeks to propose a linear model by applying complexity theory and resource-based theory to investigate how hotels achieve competitive advantage and organizational performance during the Covid-19 pandemic from the perspective of hotel leaders.

Using a standardized questionnaire and convenience sampling approach hotel managers and administrative employees were surveyed online. A total of 354 participants from five provinces in China were examined using Smart PLS and fsQCA 3.0 for analysis. The utilization of the asymmetric method facilitates the elucidation of relationships that may not be readily apparent when employing conventional symmetric approaches.

The results display a significant impact of transformational leadership (TL) on market orientation (MO), competitive advantage (CA) and organizational performance (OP). The results show numerous combinations using fsQCA that can be utilized to increase OP within the hotel industry.

At present, there is a lack of substantial empirical evidence to comprehensively investigate the impact of TL on MO, CA and OP in the field of hospitality research specifically in the context of the Covid-19. The study also contributes by providing an explanation of the factors that contribute to the development of a higher organizational performance base through TL, MO and CA during the Covid-19 pandemic.

The purpose of this study is to examine the link between knowledge-oriented leadership (KOL) and organizational performance (OP) at Higher Education Institutions (HEIs) both directly and indirectly through service innovation and knowledge-sharing quality.

This research used Smart PLS 4.0 to model structural equations using a sample comprising 237 academic staff from HEIs in China.

According to the study data, KOL has a negligible direct influence on organizational performance. The link between KOL and OP, on the other hand, is entirely mediated by the quality of knowledge sharing quality and service innovation.

The study results validate universities' experience with KOL and propose ways for academics at higher education institutions to prioritize the quality of knowledge sharing and service innovation, which in turn helps organizations function better in a volatile environment.

Despite the growing relevance of knowledge-oriented leadership in higher education, little research has been conducted to examine the mediating impact of numerous factors in the link between KOL and OP. The present research examines the link between knowledge-oriented leadership, the quality of knowledge sharing, service innovation and the performance of higher education institutions. The current study scientifically investigates the link between KOL and OP and offers insight into the existing literature by examining the mediating role of KSQ and SI.

Drawing on ability-motivation-opportunity (AMO) framework, this study investigates the direct effect of innovation-oriented HRM on SMEs’ innovation performance, both directly and through intrapreneurial behavior. Besides, the study assesses the moderating role of innovation-oriented leadership in the relationship between innovation-oriented HRM and intrapreneurial behavior.

A two-wave dataset collected from 183 SMEs was used to test the proposed hypotheses by partial least squares structural equation modeling (PLS-SEM).

Findings suggest that innovation-oriented HRM positively impacts SMEs’ innovation performance directly and through intrapreneurial behavior. Evidence also confirms that innovation-oriented leadership positively moderates the effect of innovation-oriented HRM on intrapreneurial behavior.

Through the AMO framework, this study advances our understanding of how the interaction between innovation-oriented HRM and leadership fosters intrapreneurial behavior, ultimately contributing to superior innovation performance in SMEs.

The study recommends that SMEs implement innovation-oriented HRM practices to encourage intrapreneurial behavior and achieve superior innovation performance in SMEs.

Limited research has addressed the contributions of innovation-oriented HRM and leadership toward realizing strategic innovation objectives. Our study offers valuable insights into the functions of innovation-oriented HRM and leadership in stimulating intrapreneurial behavior, thereby enhancing the innovation performance of SMEs.

The study aims to design a control chart based on an exponentially weighted moving average (EWMA) chart of Pearson's residuals of a model of negative binomial regression in order to detect possible anomalies in mortality data.

In order to evaluate the performance of the proposed chart, the authors have considered official historical records of death of children of Ecuador. A negative binomial regression model was fitted to the data, and a chart of the Pearson residuals was designed. The parameters of the chart were obtained by simulation, as well as the performances of the charts related to changes in the mean of death.

When the chart was plotted, outliers were detected in the deaths of children in the years 1990–1995, 2001–2006, 2013–2015, which could show that there are underreporting or an excessive growth in mortality. In the analysis of performances, the value of λ = 0.05 presented the fastest detection of changes in the mean death.

The proposed charts present better performances in relation to EWMA charts for deviance residuals, with a remarkable advantage of the Pearson residuals, which are much easier to interpret and calculate. Finally, the authors would like to point out that although this paper only applies control charts to Ecuadorian infant mortality, the methodology can be used to calculate mortality in any geographical area or to detect outbreaks of infectious diseases.

The purpose of this paper is to test the existence of stylized facts, such as the volatility clustering, heavy tails seen on financial series, long-term dependence and multifractality on the returns of four real estate indexes using different types of indexes: conventional and Islamic by comparing pre and during COVID-19 pandemic.

Firstly, the authors examined the characteristics of the indexes. Secondly, the authors estimated the parameters of the stable distribution. Then, the long memory is detected via the estimation of the Hurst exponents. Afterwards, the authors determine the graphs of the multifractal detrended fluctuation analysis (MF-DFA). Finally, the authors apply the WTMM method.

The results suggest that the real estate indexes are far from being efficient and that the lowest level of multifractality was observed for Islamic indexes.

The inefficiency behavior of real estate indexes gives us an idea about the prediction of the behavior of future returns in these markets on the basis of past informations. Similarly, market participants would do well to reassess their investment and risk management framework to mitigate new and somewhat higher levels of risk of their exposures during the turbulent period.

To the authors’ knowledge, this is the first real estate market study employing STL decomposition before applying the MF-DFA in the context of the COVID-19 crisis. Likewise, the study is the first investigation that focuses on these four indexes.