Search results

The aim of this study is to look into the associations, both direct and indirect, between a leader empowering behavior and employee turnover intention. Additionally, this study examines the mediating effects of work–family conflict (WFC) and work–family spillover (WFS) in the association between a leader empowering behavior and employee turnover intention. This study also explored how perceived peer support (PPS) may have a moderating effect on these associations.

A time-lag approach was used in this study to collect data from the 228 participants that made up the sample. Both front-desk employees and their immediate supervisors were included in this sample, which came from diverse tourism enterprises in central China. The research design included two independent time waves that were separated by two months, making it easier to examine the way the variables of interest changed throughout that time.

The results showed that there is a significant impact of leadership behaviors on WFS, WFC and employee turnover intention. This study showed a significant mediating effect of WFS, however, the influence of WFC as a mediator was not statistically significant. Furthermore, the results suggested that PPS significantly moderated the association between leader empowering behavior and WFS. The findings revealed that the mediating effect of WFS in the association between leader empowering behavior and employee turnover intention.

This study advances knowledge of the impacts of leadership empowering behavior on employee turnover intention through the use of a moderated mediation analysis. Based on the leader member exchange, it offers a distinctive perspective on leadership empowering behaviors to maintain a work–family balance in tourism.

This study aims to analyze the imbalances in the public finance structure of Pakistan’s economy and highlight the need for comprehensive reforms. Specifically, it aims to contribute to the empirical literature by analyzing the relationship between fiscal vulnerability, financial stress and macroeconomic policies in Pakistan’s economy between 1971 and 2020.

The study develops an index of fiscal vulnerability, an index of financial stress and an index of macroeconomic policies. The fiscal vulnerability index is based on the patterns of fiscal indicators resulting from past trends of the selected variables in Pakistan’s economy. The financial stress in Pakistan is caused from the financial disorders that are acknowledged in the composite index, which is based on variables with the potential to indicate periods of stress stemming from the foreign exchange market, the securities market and the monetary policy components. The macroeconomic policies index is developed to analyze the mechanism through which fiscal vulnerability and financial stress have influenced macroeconomic policies in Pakistan. The causal association between fiscal vulnerability, financial stress and macroeconomic policies is analyzed using the auto-regressive distributive lags approach.

There exists a long-run relationship between the three indices, and a bi-directional causality between fiscal vulnerability and macroeconomic policies.

This study contributes to the development of a fiscal monitoring mechanism, which has the basic purpose of analyzing the refinancing risk of public liabilities. Moreover, it focuses on fiscal vulnerability from a macroeconomic perspective. The study tries to develop a framework to assess fiscal vulnerability in light of “The Risk Octagon” theory, which focuses on three risk components: fiscal variables, macroeconomic-disruption-associated shocks and non-fiscal country-specific variables. The initial contribution of this work to the literature is to develop a framework (a fiscal vulnerability index, financial stress index and macroeconomic policies index) for effective and result-oriented macro-fiscal surveillance. Moreover, empirical literature emphasized and advised developing countries to develop their own capacity mechanisms to assess their fiscal vulnerability in light of the IMF guidelines regarding vulnerability assessments. This study thus attempts to fulfill the said gap identified in literature.

In the present study, we examined how effectively online travel agencies (OTAs) handle negative e-word-of-mouth on social media platforms like Facebook, Twitter, and Instagram. We collected data from 497 participants using survey method. To test the hypotheses formulated from the existing literature, structural equation modeling was adopted in this study. The results from structural equation modeling indicate effective handling of the negative e-word of mouth (e-WOM) on social media websites significantly affects customer satisfaction and repurchase intention. The current research work provides insight into social media recovery efforts and service fairness when handling negative e-WOM. The study recommends that customers can distinguish the differences between general efforts and adaptive complaint-handling efforts, and dissimilarities may influence satisfaction, repurchase intentions, etc. Although empathy, apology, responsiveness, and paraphrasing are considered pioneer strategies in complaint handling, customers' negative e-WOM, and firms' recovery management, but the current study is among a few to categorize OTAs' handling of negative e-WOM and complaint handling efforts in the social media environment.

Blockchain technology has brought about significant transformation among organizations worldwide. This study aimed to explore the effects of organizational and technological factors on blockchain technology adoption (BTA) and financial performance (FP) in Pakistan.

This is a co-relational study which used the cross-sectional data. We gathered the data from the managers of Pakistan’s small and medium-sized enterprises (SMEs), which functioned their industries with blockchain technology. We applied convenience sampling to identify the respondents. Finally, we based this study’s findings on 274 valid cases.

We used structural equation modeling (SEM) in this study, to exert a positive and significant impact on organizational factors such as organizational innovativeness (OI), organizational learning capability (OLC), top management support (TMS) and organizational work climate (OWC) on BTA. In addition, the technological factors, such as complexity (CTY), technology readiness (TR), compatibility (CBTY) and technology capability (TC), have a positive and significant effect on BTA. Finally, this study’s findings show that BTA positively and significantly impacts FP.

This study’s findings will help policymakers and planners to design policies to adopt other blockchain technologies to improve SMEs’ operations. Moreover, this study’s findings will inspire policymakers and planners to actively seek new ideas, knowledge and skills through acquiring new knowledge to assist with their IT-related decisions.

This study empirically confirms the role of organizational and technology factors toward BTA and FP among Pakistan's SME managers.

Entrepreneurship is one of the pillars of economic development and helps to green the economy. This study investigates the factors that affect green entrepreneurship (GE) in small- and medium-sized enterprises (SMEs) in Saudi Arabia.

Using quantitative modes, this study's findings are based on 334 valid cases from Saudi Arabian SME employees.

Using path analysis, this study’s findings reveal that green entrepreneurial skills (GES), green opportunities (GOs), entrepreneurial motivation (EM), green incentives (GIs), availability of capital (AoC) and green entrepreneurial self-efficacy (GESE) have positive and significant effects on GE. Moreover, GESE mediates GE's relationships with GES, GOs, EM, GIs and AoC.

This study's findings support the development of green business practices in terms of green business planning, training and skills. The research provides opportunities for green businesses. Policymakers and SME authorities would benefit from this study's findings in producing green goods and services.

This study empirically confirms the role of various factors such as GESE and GE among Saudi Arabian SMEs.

The aim of this paper is to follow an analytic-deductive approach to realize the issues related to the present power crisis and growing demand of backup power systems (BPSs), especially in India. It not only explores the need of high-cost BPSs in the current scenario but also puts an emphasis to reduce the running cost through parametric optimizations.

Literature review identifies dependency of every sector on BPS and also highlights present and future challenges erupting in this age of power scarcity. Different improvement initiatives being used to improve efficiency of BPS have been studied, but quite rare application of Six Sigma in BPS sector, in actual was found. A define-measure-analyze-improve-control (DMAIC) model of Six Sigma is being suggested and practiced for bringing a breakthrough in efficiency or mileage of a diesel genset (used as a BPS).

Importance of BPS cannot be ignored, particularly in developing countries, but feeble effort was seen to improve its power generation cost. An imprecise and outdated framework used for bringing a change in the BPS sector is unable to increase its overall equipment efficiency. The diversified methodology of Six Sigma has been successfully implemented through a case study discussed and further validates the approach adopted to tackle the problem formulated further in the paper.

The whole work more or less revolves around the Indian energy scenario and seems to be talking about the power generation process and its optimization, in context of only diesel genets as BPS.

The paper outlines the need for energy reform in industry. The DMAIC approach of Six Sigma in the BPS sector is too infrequent and next, motivates to reduce BPS cost and its associated expenditures, which are generally ignored.

The study aims to investigate how hotel booking attributes (i.e. perceived privacy, perceived certification and perceived assurance) engender consumers’ untrust and consequent behavioral intentions (i.e. altruistic behavior and trusting intentions). It also unveils the role of hotel attributes performance as a moderator between hotel booking attributes and consumers’ untrust.

Data were collected through an online platform by engaging 454 Chinese respondents. SPSS 25.0 and AMOS 24.0 (structural equation modeling) were used for data analysis and interpretation.

Results demonstrate that hotel booking attributes positively substantiate consumers’ untrust which, in turn, develops altruistic behavior and negative trusting intentions. Moreover, hotel attribute experience significantly moderates the relationships between perceived privacy, perceived certification and consumers’ untrust. Notably, hotel attribute performance insignificantly influences the association between perceived assurance and untrust.

This study used the Chinese context and examined Chinese domestic travelers and the nonbranded hotel industry. Notwithstanding its limitations, the findings help hospitality and tourism firms, en bloc, to manage their review websites by explicitly disclosing policies regarding customers’ privacy and assurance, winning their trust through third-party certification and employing data scientists to develop algorithms to sieve fake information proactively.

This study develops an original conceptual framework by using the untrust model in this research. Our findings add to the research on consumer behavior, information processing, service management and trust and suggest practical implications for hospitality firms.