The Dynamic Relationship Between Technology Innovation and Human Development in Technologically Advanced Countries: Fresh Insights from Quantiles-on-Quantile Approach

Our study investigates the relationship between technology innovation and human development in technologically advanced countries using data from quarterly observations from the last decade of the twentieth century to the first two decades of the twenty-first century. This objective of this study is to implement Quantile-on-Quantile regression (QQ) technique that as formulated by Sim and Zhou (J Bank Finance 55:1–8, 2015) and the renowned Granger-causality in quantiles as proposed by Troster (Econom Rev 37(8):850–866, 2018) examine the basic relationship between the given quantiles of technology innovation and their effects on the quantiles of human development. Therefore, the outcomes of this study explain the overall interdependence of technology innovation and affect the overall human development index. It is enumerated that the empirical results indicate that a significant positive relationship exists between technology innovation and human development in all selected technologically advanced countries, predominantly in both low and high tails. Moreover, the outcomes of Granger causality quantiles indicate a bi-directional fundamental relationship between these two variables in the dataset of all countries. The outcomes of the observations are extended to the recent findings on these two variables’ nexus and imply a differential impact on the technologically advanced countries. This causality guides us to offer some specific policy recommendations to each group of countries.

     

Citizens’ Initiatives for Crisis Management and the Use of Social Media: An Analysis of COVID-19 Crisis in Bangladesh

Public Organization Review - This study analyses different social media-based citizens’ initiatives taken during the COVID-19 crisis in Bangladesh. By applying netnography on various Facebook...     

Understanding the Followers of Toxic Leaders: Toxic Illusio and Personal Uncertainty

Toxic leaders are one of the main threats to the wellbeing of people in the workplace and in society in general, and followers play a critical role in constructing and maintaining toxic leaders. In this narrative review, we draw on Bourdieu's concept of illusio and incorporate it with the social and cognitive psychology approaches in an attempt to frame the dynamic system that sustains toxic leadership through continued support of the followers. More specifically, as we introduce the illusio perspective in a process‐relational context to the toxic leadership discussion, we (i) address the allure of toxic leaders as an incentive for followers to join the toxic illusio as a way to cope with their high personal uncertainty and (ii) illustrate the mechanisms and processes that motivate followers of toxic leaders to remain in the toxic illusio once they join. In this context, we also briefly discuss and differentiate between the ethical and moral dimensions of toxic leadership.     

What Drives Remittances from Saudi Arabia to Pakistan? Home Versus Host Country's Economic Conditions

Saudi Arabia is the largest source country of remittances to Pakistan since the 1970s. This study examined the impact of home versus host country’s economic conditions on remittances from Saudi Arabia to Pakistan. The ARDL bounds testing is used on the annual data set from 1973 to 2014. The study concluded that economic growth in the host country and economic crises in the home country increase remittances. 1% decrease in domestic output increases remittances by 2.79% while 1% increase in sending country’s output growth increases remittances by 5.2% in the long‐run. The bilateral trade has a positive while financial deepening has a negative impact on inflows. The impact of oil shock is insignificant. We suggest cautious foreign policy as remittances depend significantly on the host country’s economic condition that is not directly under the control of the home country but remittances can be sustained with bilateral trade.     

An EWMA chart for monitoring process mean

In the statistical process control literature, there exists several improved quality control charts based on cost-effective sampling schemes, including the ranked set sampling (RSS) and median RSS (MRSS). A generalized cost-effective RSS scheme has been recently introduced for efficiently estimating the population mean, namely varied L RSS (VLRSS). In this article, we propose a new exponentially weighted moving average (EWMA) control chart for monitoring the process mean using VLRSS, named the EWMA-VLRSS chart, under both perfect and imperfect rankings. The EWMA-VLRSS chart encompasses the existing EWMA charts based on RSS and MRSS (named the EWMA-RSS and EWMA-MRSS charts). We use extensive Monte Carlo simulations to compute the run length characteristics of the EWMA-VLRSS chart. The proposed chart is then compared with the existing EWMA charts. It is found that, with either perfect or imperfect rankings, the EWMA-VLRSS chart is more sensitive than the EWMA-RSS and EWMA-MRSS charts in detecting small to large shifts in the process mean. A real dataset is also used to explain the working of the EWMA-VLRSS chart.     

Rare and clustered population estimation using the adaptive cluster sampling with some robust measures

The use of robust measures helps to increase the precision of the estimators, especially for the estimation of extremely skewed distributions. In this article, a generalized ratio estimator is proposed by using some robust measures with single auxiliary variable under the adaptive cluster sampling (ACS) design. We have incorporated tri-mean (TM), mid-range (MR) and Hodges-Lehman (HL) of the auxiliary variable as robust measures together with some conventional measures. The expressions of bias and mean square error (MSE) of the proposed generalized ratio estimator are derived. Two types of numerical study have been conducted using artificial clustered population and real data application to examine the performance of the proposed estimator over the usual mean per unit estimator under simple random sampling (SRS). Related results of the simulation study show that the proposed estimators provide better estimation results on both real and artificial population over the competing estimators.     

Modeling Causality Between Financial Deepening and Poverty Reduction in Egypt

This paper explores the determinants of immigration to Portugal. It is the first study to empirically evaluate an extended set of determinants to explain this new phenomenon in Portugal, a highly globalized economy and a 40-year-old democracy. This study finds evidence that the use of Portuguese as the mother tongue and prior Portuguese immigration are the main determinants of current immigration to Portugal from a given country. Depending on which subgroup is considered (refugees, students, or workers), more specific findings also arise. For refugees and foreign workers, human rights violations help explain increased immigration; for foreign students, low per capita income (in the home country) is a significant factor. Dividing the sample into Portuguese speakers and non-Portuguese speakers, we also identified the level of economic development as an important determinant for immigrants from non-lusophone countries. The military situations of the home countries were also important determinants for lusophone immigrants.     

Effectiveness of Performance Appraisal: An Integrated Framework

Based on a robust analysis of the existing literature on performance appraisal (PA), this paper makes a case for an integrated framework of effectiveness of performance appraisal (EPA). To achieve this, it draws on the expanded view of measurement criteria of EPA, i.e. purposefulness, fairness and accuracy, and identifies their relationships with ratee reactions. The analysis reveals that the expanded view of purposefulness includes more theoretical anchors for the purposes of PA and relates to various aspects of human resource functions, e.g. feedback and goal orientation. The expansion in the PA fairness criterion suggests certain newly established nomological networks, which were ignored in the past, e.g. the relationship between distributive fairness and organization‐referenced outcomes. Further, refinements in PA accuracy reveal a more comprehensive categorization of rating biases. Coherence among measurement criteria has resulted in a ratee reactions‐based integrated framework, which should be useful for both researchers and practitioners.     

Some new constructions of circular balanced repeated measurements designs

Repeated measurements designs are widely used in medicine, pharmacology, animal sciences, and psychology. In this article, some infinite series are developed to generate the balanced repeated measurements designs for p (periods) even. For p odd, construction procedures are also described. Catalogues of the proposed designs are also presented for p = 5, 7, 9, when v ≤ 100.     

General standby allocation in series and parallel systems

Stochastic orders are very useful tools to compare the lifetimes of two systems. Optimum lifetime of a series (resp. parallel) system with general standby component(s) depends on the allocation strategy of standby component(s) into the system. Here, we discuss three different models of one or more standby components. In each model, we compare different series (resp. parallel) systems (which are formed through different allocation strategies of standby component(s)) with respect to the usual stochastic order and the stochastic precedence order. The results related to the cold as well as the hot standby models are obtained as particular cases of the results discussed in this article because the model considered here is a general one.