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This study aims to explore the factors that influence young green actual consumption behavior (GACB) by examining the relational and technological aspects that are dependent on technology and youth green buying intention (GBI). Additionally, this study endeavors to examine the moderating effect of adolescent green organizational citizenship behavior (OCB) on the association between young consumer GBI and young GACB.

The data for this study was collected from a sample of 282 university students located in the southern region of China. A time lag approach was used in this study, with data being gathered during two separate intervals spaced apart by duration of two months.

The findings of this study demonstrate that both technological and relational factors play a significant role in predicting young consumer GBI, which in turn predicts young GACB. Additionally, the results indicate that GBI is a crucial facilitator in the investigation. Furthermore, the results reveal that young green OCB serves as a significant moderator, enhancing the association between young consumer GBI and young consumer GACB.

The present study provides a novel perspective on the examination of how technology and relational factors impact young consumers, offering a deeper understanding of their intentions and actual consumption behavior. The findings of this study offer both theoretical and practical implications for academics, policymakers, senior managers and practitioners, providing valuable insights into the field.

This research paper aims to explore asymmetric market efficiency of the 13 Euro countries, i.e. Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy, Netherland, Portugal, Slovakia, Slovenia and Spain, concerning the period before global financial crisis (GFC), after GFC and period of COVID-19 pandemic.

Multifractal detrended fluctuation analysis (MF-DFA) is applied to examine the persistence and anti-persistency. It also discusses the random walk behavior hypothesis of these 13 countries non-stationary time series. Additionally, generalized Hurst exponents are applied to estimate the relative efficiency between short- and long-run horizons and small and large fluctuations.

The current study results suggest that most countries' markets are multifractal and exhibit long-term persistence in the short and long run. Moreover, the results with respect to full sample confirm that Portugal is the most efficient country in short run and Austria is the least efficient country. However, in long run, Austria appeared to be highly efficient, and Slovakia is the least efficient. In the pre-GFC period, Greece is said to be the relatively most efficient market in the short run, whereas Austria is the most efficient market in the long run. In the case of Post-GFC, Netherland and Ireland are the most efficient markets in short and long run, respectively. Lastly, COVID-19 results indicate that Finland's stock market is the most efficient in short run. Whereas, in the long run, the high efficiency is illustrated by Germany. In contrast, the most affected stock market due to COVID-19 is Belgium.

This study will add value to the present knowledge on efficient market hypothesis (EMH) with the MF-DFA approach. Also, with the MF-DFA approach, potential investors will be capable of ranking the stock markets of Eurozone countries based on their efficiency in the period before and after GFC and then specifically in the period of COVID-19.

本研究旨在探討13個歐元區國家在環球金融危機前後, 以及2019新型冠狀病毒病肆虐時期之不對稱市場效率; 這13個國家包括: 奧地利、比利時、芬蘭、法國、德國、希臘、愛爾蘭、義大利、荷蘭、葡萄牙、斯洛伐克、斯洛維尼亞和西班牙。

研究人員使用多重分形去趨勢波動分析法、來探討持續性與反持續性。這分析法也用來討論正在研究中的13個國家的非平穩時間序列的隨機漫步假說; 而且, 廣義赫斯特指數被用來估算長期/短期投資與大/小波動之間的相對效率。

研究結果間接表明了大部份國家的市場都是多重分形的; 而且, 它們無論以短期抑或以長期來審視觀察, 均能展示持久性。再者, 就整體樣本而言, 研究結果確認了在短期來看, 葡萄牙是效率最高的國家, 而奧地利則效率最低。唯以長期來審視觀察, 奧地利則似乎效率很高, 而效率最低的則是斯洛伐克。在環球金融危機爆發前, 就短期而言, 希臘被認為是相對效率最高的市場, 而長期而言, 效率最高的則是奧地利。至於在環球金融危機爆發後, 就短期而言, 荷蘭是效率最高的市場, 而就長期而言, 效率最高的則是愛爾蘭。最後, 2019新型冠狀病毒病的結果顯示, 就短期而言, 荷蘭的股票市場是效率最高的, 而長期而言, 德國則展示了其高效率性。而受疫情影響最大的股票市場則是比利時。

研究採用了多重分形去趨勢波動分析法、來探討股票市場的效率, 並以此分析法來討論有關國家的非平穩時間序列的隨機漫步假說, 這使我們對效率市場假說有進一步的認識; 就此而言, 本研究為有關的探討增添價值; 而且, 有意投資者在使用多重分形去趨勢波動分析法下, 能夠基於歐元區國家的股票市場在環球金融危機前後, 以及更明確地在2019新型冠狀病毒病肆虐時期的效率, 來把這些股票市場分等級。

環球金融危機、2019新型冠狀病毒病、效率市場假說、多重分形去趨勢波動分析.

This study aims to analyze the connection between servant leadership and the promotive and prohibitive voice behavior of employees. In addition, this study explained how servant leadership affects promotive and prohibitive voice behavior through meaning.

For this study, data were collected from employee–manager dyads employed in the service sector. Each of the waves was initiated two months after the first wave. Finally, 286 useful responses were obtained. The collected data was analyzed through covariance-based structural equation modeling.

Servant leadership is related with meaning, promotive voice behavior and prohibitive voice behavior. Meaning is found to mediate the relationship between servant leadership and the two facets of voice behavior.

To the best of the authors’ knowledge, this study is the first to explore the mediating role of meaning relating servant leadership to promotive and prohibitive voice behavior.

The purpose of this study is to investigate the post–enterprise resource planning (ERP) issues and challenges in the context of Saudi Arabia. There is a lack of research in the context of developing countries regarding post-ERP implementation issues and challenges. The high failure rate of the ERP system is a reflection of many management issues that occurred at different phases of ERP implementation. Previous research indicated that even after a successful implementation, the ERP system was unable to sustain itself in the organizations.

An exploratory case study design was adopted to proceed with this research process at two organizations in Saudi Arabia. The interviews of the top and middle management are conducted and transcribed. These case studies were further analyzed using the Creswell approach to generate several themes, and descriptions provided a deeper understanding of the post ERP implementation issues and challenges.

Research findings show that for successful ERP implementation, identified factors are top management support, integration, strategy, employee resistance, BPR, change management, vendor selection, team formation and culture. Moreover, factors for the post-ERP implementation that led to sustainability are top management support, training, system adoption, system testing, data migration, cost overrun, employee retention and post-implementation support.

This study is unique in its type to examine the issues and challenges organizations face after deploying ERP initiatives. This research's findings were useful and supportive for the senior management interested in successfully sustaining such an initiative in the organization.

The purpose of this study was to examine a moderated mediation model of job dissatisfaction and workplace social support in the relationship between work–life conflict and turnover intentions.

Data were collected in a cross-sectional survey of 220 police investigation officers. Partial least squares structural equation modeling was applied for data analysis.

Empirical findings of study indicate that work–life conflict enhances employee turnover intentions by creating job dissatisfaction. However, workplace social support buffers this effect and reduces turnover intentions by weakening the effect of work–life conflict on job dissatisfaction.

This study contributes to personnel management and organizational psychology literature by explaining how workplace social support can affect the mediating process of job dissatisfaction through which the relationship between work–life conflict and turnover intentions is determined. The limitations are related to external validity, single source data and cross-sectional nature of data.

Organizational leaders and practitioners can take insights from the findings of this study that if workplace social support prevails at a level greater than work–life conflict, it will nullify or suppress the effect of work–life conflict on turnover intentions by reducing job dissatisfaction.

The originality value of this study is that it has addressed the scarcity of testing boundary conditions of the indirect effect of work–life conflict on turnover intentions through job dissatisfaction.

This study empirically examines the impact of some domestic as well as global factors such as trade openness (TO), money supply (MS), exchange rate, global oil prices (GOPs) and interest rate (IR) on inflation.

This study deploys a quantitative method considering 30 years of data (1991–2020) from four South Asian countries, namely, Sri Lanka, Pakistan, Bangladesh and India. To determine the potential impact of different factors on inflation, this study applies the panel analysis of the system generalized method of moments (SGMM).

This study empirically finds that TO, MS, exchange rate and GOPs have a positive impact on inflation, while IR and the structural adjustment program (SAP) have a negative impact on inflation. Out of the various determinants considered in this study, TO, exchange rate and the SAP are insignificant, while the rest of the variables are significant and consistent with previous studies.

This study informs policymakers about maintaining price stability and fostering economic growth in South Asian nations. It breaks new ground as the first empirical examination of the International Monetary Fund (IMF)’s SAP impact on inflation in the region.

This study tries to find out whether the SAP of the IMF is responsible for inflation in South Asian countries. It gives renewed attention to the causality of inflation from the perspective of countries receiving loans from donors, especially the IMF.

The aim of the paper is to rank and analyze the key strategies to sustainable finance adoption in the manufacturing sector using Fuzzy Delphi method (FDM), Interpretive Structural Modeling (ISM) and MICMAC (impact matrix cross-reference multiplication applied to a classification) analysis.

The study develops a novel framework to identify and analyze the mutual relationships among set of sustainable policies using extensive literature survey and experts opinion. Initially, the study found 14 strategies to implement sustainable finance with the help of vast literature. Then, the list of identified factors were screened through Fuzzy Delphi Method (FDM). Based on driving and dependence power, the final list of factors are divided into three categories.

The study findings reveal that “environmental rules and practices”, “financial incentives, tax reduction and subsidy”, have strongest driving power for promoting sustainable financial system in Pakistani manufacturing sector. Furthermore, “environmental awareness” and “long term vision” are found to be highly influenced by other corresponding elements in a system.

The ISM approach assists professionals, academics, and managers in identifying and ranking policies in implementing green business techniques. The hierarchical representation of ISM results provides a roadmap for decision-makers to navigate and prioritize factors effectively, facilitating the implementation of strategies that contribute to sustainable growth within organizations.

The study results provide interesting clues regarding green finance policies that provide the foundations, incentives, protections or other provisions that support the ecological conservancy’s mission. Specifically, the findings guide that government must offer research grants to private enterprises, research and development institutions, and universities to promote environmental protection and develop transformative technologies such as waste recycling, renewable energy, carbon capture, and power consumption.

The exploration of strategies for sustainable finance adoption with the help of mixed methodological approach and classification of these strategies on the basis of importance level is a new attempt in the field of manufacturing sector.

Fintech businesses have the tendency to revolutionize the entire world. Especially, the tasks associated with banking needs, and therefore, there is a significant scope for Fintech in the banking industry. Although when the country’s major population is unbanked and most of the population is also financially excluded, then the scope of Fintech gets exaggerated for microfinance institutions (MFIs), and therefore, the significance of Fintech for MFIs is much higher than the commercial and Islamic banks. Hence, this chapter has been written purposively to illuminate the impact, role, significance and implications of Fintech for MFIs in Pakistan in order to boost the knowledge and understanding of diverse stakeholders. The specialty of this chapter is that it is written specifically with reference to Pakistan as there is least research work with respect to the application of Fintech in MFIs. Similarly, the chapter also contains the anatomy of the value chain activities of MFIs and their linkage with the role of Fintech applications in boosting the performance of MFIs. Last, but not the least, the chapter also has a detailed discussion on factors that are required to boost the usage of Fintech in the MFI sector. Therefore, this chapter is pervasive for academicians, researchers, entrepreneurs, intrapreneurs and students for grasping, understanding and applying recent knowledge towards the betterment of academic and pragmatic activities.

The success of projects is a major challenge for information technology (IT) project-based businesses (PBOs). Employees' negative emotions (NE) disrupt the employees' usual work activities by creating obstacles to routine operations. Organizations should take steps to lessen these NE. The current study assessed the mediating role of NE and the moderating influence of employee mindfulness in the association between despotic leadership (DL) and IT project success (PS).

Time-lagged data were collected from 341 employees working in various IT-based project organizations in Pakistan using purposive sampling.

Results were consistent with the authors' hypothesized framework, as DL increases employees' NE, which in turn negatively affects IT PS. In addition, mindfulness plays a buffering role in mitigating the damaging impact of DL on NE.

Previous researchers focused on the positive aspects of leadership and its influence on PS and paid limited attention to the dark leadership style. The authors' study's findings help understand how project-based organizations can reduce employees' NE.

This study aims to investigate differences between Islamic and conventional banks in Pakistan with respect to their operational efficiency, liquidity risk and asset quality. Importantly, in addition to full-fledged Islamic and conventional banks, this study also investigates a more recently emerged breed of hybrid banks, i.e. Islamic divisions of conventional banks.

Data for the period 2011–2020 was collected from financial reports of all full-fledged Islamic banks (5), Islamic banking divisions of conventional banks (8) and conventional banks (20) in Pakistan. Logistic regressions were designed to test the proposed hypotheses.

The findings suggest that full-fledged Islamic banks are operationally less efficient and experience higher liquidity risk than conventional banks. However, the asset quality of Islamic banks is better than that of conventional banks. Next, in the robustness analysis, the authors extended the sample size by adding the Islamic divisions (window) of the conventional banks; they found almost the same result except for efficiency which turned out to be non-significantly related to bank type.

The findings are beneficial for investors, depositors, consumers and bank management in understanding the financial features of such as efficiency, liquidity and liquidity risk that separate Islamic banks from conventional banks.

The findings of this study present a clear picture to bankers and practitioners about some financial features of banking systems and depict that Islamic banks are in need to improve their liquidity risk management practices to compete with conventional banks.