Are economic growth and environmental pollution a dilemma?

For the first time, this study introduces-proposes using the Armey curve hypothesis (ACH) for testing the environmental Kuznets curve hypothesis (EKCH) in the relevant literature. The rationale for this new proposed methodology is that both hypotheses are expected to have similar inverted U-shaped curves. Hence, we combine the aforementioned hypotheses to obtain a single composite model. This single model may allow us to calculate a maximum (optimum) level of government expenditures that will increase or decrease CO₂ emissions for USMCA (the USA-Mexico-Canada Agreement) countries. To this end, our study employs an augmented mean group (AMG) estimator. The results demonstrate that the EKCH is verified by way of the AC model only for Mexico. Additionally, with the advantage of this approach, we calculated the optimal government spending level, which will increase both per capita real GDP (RGDPPC) and CO₂ emissions in this country by around 26.4% of RGDPPC. This level of spending will be a kind of threshold point for the Mexican government's policymakers. Hence, they will know that if they continue to spend more than this level, both the RGDPPC and CO₂ emissions will decrease, implying either a lower RGDPPC or a cleaner environment. The primary purpose of the proposed methodology in this study is to reveal the possible effects of the government's economic growth-oriented increased public expenditures on the environment in a single composite model. In other words, the relationship between economic growth and the environment is approached from the perspective of public spending, and it is reminded that governments should have harmonious and sustainable public spending policies for both economic growth and a cleaner environment.

Application of artificial neural network model in predicting profitability of Indian banks

The aim of this study is to predict the profitability of Indian banks. Several factors both internal and external, affecting bank profitability were derived from extensive review of literature. We used Artificial Neural Network (ANN) with cross-validation technique to perform predictive analysis. ANN was chosen due to its flexibility and non-linear modelling capability. Several structures of ANN with a single and two hidden layers along with varying hidden neurons were implemented. Further, a comparison was made with the multiple linear regression (MLR) model. We found the models based on ANN to offer very accurate results in prediction and are marginally better as compared to the regression model. Higher accuracy of the model makes a significant difference due to the astronomically large size of the balance sheet of banks. This article is unique in the approach of handling the panel data for predictive analysis wherein the training of the model was done on a single bank’s data, thus, reducing the panel data to a time series data. This approach shows the ability to work with large panel data and make accurate predictions.

Impact of liquidity spillovers among industrial sectors on stock markets during crisis periods: Evidence from the S&P 500 index

We investigate liquidity spillovers among industry sectors in the S&P 500 index to explain the interconnection dynamics in the US stock market. To do so, we define a sectoral liquidity measure based on the Amihud liquidity measure. Employing the spillover model, we further examine US sectors' liquidity spillovers during the global financial crisis (GFC) and the COVID-19 pandemic. Based on the relationship between liquidity in financial markets and business cycles, our findings show that (i) liquidity connections became stronger during both crises, (ii) in the GFC period, the material sector was the primary transmitter of total liquidity spillovers, whereas in the COVID-19 pandemic period, the consumer discretionary sector was the main conveyor of total liquidity spillovers and the real estate sector was the dominant recipient of total liquidity spillovers, and (iii) net liquidity spillovers between all sectors fluctuated notably during the GFC, while the industrial, consumer staples, and healthcare sectors had the largest net liquidity spillovers during the COVID-19 crisis. These findings have important implications for portfolio managers and policymakers.

New insights into the impact of financial inclusion on economic growth: A global perspective

Financial inclusion is critical to inclusive growth, proffering policy solutions to eradicate the barriers that exclude individuals from financial markets. This study explores the effects of financial inclusion on economic growth in a global perspective with a large number of panels classified by income and regional levels from 2002-2020. The analysis begins with the development of a comprehensive composite financial inclusion index comprised of penetration, availability, and usage of financial services and the estimation of heterogeneous panel data models augmented with well-known variables. The results obtained from the panel cointegration test support a long-run relationship between economic growth, financial inclusion, and the control variables in the full panel, income-level, and regional-level economies. Furthermore, the study employs a GMM (generalized method of moment) approach using System-GMM estimators to examine the effects of financial inclusion and the control predictors on economic growth. The results of the GMM model clearly indicate that financial inclusion has a significantly positive impact on economic growth across all panels, implying that financial inclusion is an effective tool in fostering rapid economic growth in the world. Finally, the study delves into the causality relationship between the predictors and provides statistical evidence of bidirectional causality between economic growth and financial inclusion, whereas it only supports unidirectional causality relationships from credit to the private sector, foreign direct investment, inflation rate, the rule of law, school enrollment ratio, and trade openness with no feedback causality. Moreover, the study fails to provide causality evidence from the age dependency ratio and population to economic growth.

Household costs associated with seeking malaria treatment during pregnancy: evidence from Burkina Faso and The Gambia

Background

Malaria in pregnancy remains a major health threat in sub-Saharan Africa to both expectant mothers and their unborn children. To date, there have been very few studies focused on the out of pocket costs associated with seeking treatment for malaria during pregnancy.

Methods

A cross-sectional survey was undertaken in Burkina Faso and The Gambia to estimate the direct and indirect costs associated with outpatient consultations (OP) and inpatient admissions (IP). Direct costs were broken down into medical (admission fees, drug charges, and laboratory fees), and non-medical (transportation and food). Indirect costs reflected time lost due to illness. In total, 220 pregnant women in Burkina Faso and 263 in The Gambia were interviewed about their treatment seeking decisions, expenditure, time use and financial support associated with each malaria episode.

Results

In Burkina Faso 6.7% sought treatment elsewhere before their OP visits, and 27.1% before their IP visits. This compares to 1.3% for OP and 25.92% for IP in The Gambia. Once at the facility, the average direct costs (out of pocket) were 3.91US$ for an OP visit and 15.38US$ of an IP visit in Burkina Faso, and 0.80US$ for an OP visit and 9.19US$ for an IP visit in The Gambia. Inpatient direct costs were driven by drug costs (9.27US$) and transportation costs (2.72US$) in Burkina Faso and drug costs (3.44 US$) and food costs (3.44 US$) in The Gambia. Indirect costs of IP visits, valued as the opportunity cost of time lost due to the illness, were estimated at 11.85US$ in Burkina Faso and 4.07US$ in The Gambia. The difference across the two countries was mainly due to the longer time of hospitalization in Burkina Faso compared to The Gambia. In The Gambia, the vast majority of pregnant women reported receiving financial support from family members living abroad, most commonly siblings (65%).

Conclusions

High malaria treatment costs are incurred by pregnant women in Burkina Faso and The Gambia. Beyond the medical costs of fees and drugs, costs in terms of transport, food and time are significant drivers. The role of remittances, particularly their effect on accessing health care, needs further investigation.

The Efficiency of National Innovation Policy Programs: The Case of Serbia

We aimed to assess the efficiency of the selected national innovation policy programs in the Republic of Serbia. We analyzed the impact of the Innovation Fund’s Mini-Grants and Matching Grants programs on the operating revenue growth of beneficiary micro, small, and medium enterprises. An econometric analysis of panel data was conducted. Because of the small number of periods observed, a model of individual effects was applied. Conclusions and recommendations were based on the results of random effects models. The findings indicate that program funding increased business revenues compared to the period before and that there was a direct link between indebtedness and revenue growth, which confirmed the positive impact of financing on the sustainable development prospects of beneficiaries through facilitating access to funding and innovation capacity improvement. These findings can have important policy implications as they provide guidelines for designing future actions and empirically confirm the need to increase public expenditures for innovation policy.

Supporting Agri-Food SMEs in Italy in the Post-COVID-19 Context: From Horizon 2020 to Horizon Europe

In recent decades, European policy has targeted specific measures towards SMEs. The recently concluded Horizon 2020 Programme, under the Europe 2020 Strategy, has provided economic support to stimulate competitiveness and boost the economy of member states by focusing on innovation. The SME Instrument, through a structure of multiple calls, constituted the vehicle for SMEs to access the funds made available by the European Union with disruptive innovation proposals. The initial structure of the SME Instrument, developed in phases and along the lines of the US Small Business Innovative Research (SBIR) Programme, was afterwards simplified in the design of its successor, the EIC Accelerator Pilot. The success of the above mentioned economic instruments led the European institutions to develop a new instrument, the EIC Accelerator, supported by the current Horizon Europe programme. After outlining the main features of this transition and the novelties introduced, this paper aims to ascertain the extent to which SMEs in the agri-food sector in Italy have had the ability and opportunity to intercept funds by measuring participation in the SME Instrument. Furthermore, it intends to verify which type of firms in the agri-food sector, divided into agricultural and industrial enterprises, intercepted more of the examined funds, and which organisational phase, productive or commercial, the enterprises have been oriented towards, also giving relevancy to the specific objects of the winning projects.

Evaluating the Digital Transformation Performance of Retail by the DEA Approach

In recent years, under the impact of digitization, all industries around the world have undergone unprecedented changes. Such changes have not only altered people’s consumption behavior but have also forced enterprises to accelerate the pace of digitization and actively start digital transformation. In this study, a literature review and focus group interview (FGI) were used to develop the dimensions and criteria to assess enterprise digital transformation status. To illustrate the digital transformation criteria proposed in this research, the retail industry was used as an example to measure the overall digital transformation performance by data envelopment analysis (DEA). The results show that the poor technical efficiency demonstrated by a vendor was not only due to the gradually decreasing returns to scale of the market; a decline in pure technical efficiency was also a contributor. In addition to adjusting their production on the basis of market conditions, vendors should properly manage their internal operations and pay attention to their resource and scale allocations to prevent reductions in their pure technical efficiency.

Development of Rural Areas in Ukraine in the Context of Decentralization: An Empirical Study

Decentralization in Ukraine was actualized due to the inability of the local self-government system to satisfy the needs of the rural population in public services for the comprehensive development of a person, their self-realization, and the protection of their constitutional rights. The purpose of this empirical study is to examine development of rural areas in Ukraine in the context of decentralization. The methodology used was exploratory qualitative in nature and used a multiple case study, wherein data analysis were applied. We have found that the first result of decentralization in 2015–2018 is a slowdown in the decline of the proportion of the rural population, in the rate of decline of the available rural population, and the employment rate of the rural population. Our study refutes the hypothesis that the rural development targets, which were defined at the beginning of decentralization and fixed in the current legislation, have been achieved. Rural development targets have not been achieved, and economic modeling shows that there are no prospects for achieving them in the near future. The research results presented in the paper are of considerable importance for developing economic policy and the social development of rural areas, by addressing the needs of these rural areas.

Challenges of the organizational structure of county health network in Iran: findings from a qualitative study

Background

Primary healthcare with the right structure is the base for any highly efficient healthcare system to achieve better health outcomes at the lowest cost. Challenges of this system, including structural weaknesses, are one of the factors of inefficiency. Therefore, the purpose of this study was to identify challenges of the organizational structure of county health network in Iran.

Methods

An exploratory qualitative face-to-face semi-structured interviews were carried out with 21 key informants including experts and managers in Ahvaz-Iran. Purposive sampling method with maximum diversity were used. Interviews were recorded digitally and transcribed verbatim. Interview transcripts were analyzed based on a thematic analysis approach via NVivo-11.

Results

In analysis of the interviews, after removing the duplicate codes and merging similar items, finally 6 main challenges and 56 sub-themes were obtained. The themes of structural challenges included formalization, complexity, centralization, culture, environment, and resources.

Conclusions

Based on the present situation, the challenges in the current organizational structure and a change in the goals and strategies of the healthcare system in Iran, the appropriate structure needs to be designed and implemented at different levels in accordance with the goals and strategies. The separation and independence of health centers management and hospitals (treatment) in the county can provide a basis for understanding the challenges to the provision of health services.

Influence of individualism and collectivism on talent management practices

As the world becomes more globalized, it is increasingly necessary to be aware of the limitations of a universalistic approach to talent management. Talent management practices are considered to be among the three most important topics explored in talent management literature. However, there is a dearth of studies investigating the influence of national culture on talent management practices. The current article seeks to make a conceptual contribution to talent management practice literature through reviewing previous talent management practices, individualist, and collectivist literature then synthesizes the literature to provide a framework for examining the different talent management practices in individualistic and collectivistic societies. Talent management practices originated in Anglo-Saxon countries and align with their individualistic culture, which leads to the question of whether these practices can be implemented effectively in collectivistic societies. This study attempts to answer this question by exploring talent management practices in individualist and collectivist cultures and providing a framework for effective talent management practices in both. This research opens the door for more research to explore the gaps between what happens in talent management practices and what should happen according to talent management practices theory.

The Impact of Innovation-Driven Strategy on High-Quality Economic Development: Evidence from China

It is of great significance to study the impact of innovation-driven strategy on high-quality development. This paper investigates the relationship between the economic development quality index (EDQI) and the innovation-driven index (IDI) using the entropy method based on China’s macroeconomic data from 2000 to 2019. It examines the impacts of innovation-driven strategy on the economy using systematic cluster analysis and the impact of innovation on economic development quality through regression analyses. Results of empirical analyses illustrate that the innovation-driven strategy of China has played an important role in the quality of economic development. Still, the lack of hard innovation leads to primary and secondary industries’ insufficient development quality. Different innovation indicators have different effects, and the overall efficiency of financial research funds is insufficient. Further, the results also show that the positive role of innovation-driven strategy is mainly realized through high-tech markets in China. Therefore, R&D investment should focus on high-tech industries or fields related to the national economic lifeline or strategic industries, such as environmental protection, microchips, and high-end instruments industries in China. This paper attempts to study the effect of China’s innovation-driven strategy on the quality of economic development to provide reference experience for developing countries’ sustainable economic development.

Civil and Procedural Instruments of the Consumer Protection on the Retail Electricity Market—Original Polish Model

In the article, the authors present the specificity of the Polish retail electricity market, shaped to a considerable extent by the provisions of European Union law. The main feature of this market is granting special legal protection to individual final customers (referred to by the legislator as “household customers”) who have obtained the status of consumers in the Polish legal system. The essence of the study is not only to analyze the subjective and quantitative aspects of this market, but, above all, to analyze the civil law measures protecting these electricity consumers. These aspects constitute a unique legal structure, which is a continuation of the administrative proceedings before the President of the Energy Regulatory Office (regulatory entity). The Court of Competition and Consumer Protection (hereinafter referred to as the Court of Protection) is a specialized civil court that hears appeals against decisions of the regulatory entity, the subjects of which are actions or omissions of professional participants of the retail electricity market, which infringe the collective interests of consumers (“household customers”) as individual final customer on this market.

Precarious employment and mental health across European welfare states: a gender perspective

OBJECTIVE

The aim of this article was to examine the relationship between precarious employment (PE), welfare states (WS) and mental health in Europe from a gender perspective.

METHODS

Data were derived from the European Working Conditions Survey 2015. PE was measured through the Employment Precariousness Scale for Europe (EPRES-E), validated for comparative research in 22 European countries, and categorized into quartiles. Countries were classified into Continental, Anglo-Saxon, Scandinavian, Southern and Central-Eastern WS. Mental health was assessed through the WHO-5 Well-Being Index and dichotomized into poor and good mental health. In a sample of 22,555 formal employees, we performed gender-stratified multi-level logistic regression models.

RESULTS

Results showed greater prevalences of PE and poor mental health among women. However, the association between them was stronger among men. Cross-country differences were observed in multi-level regressions, but the interaction effect of WS was only significant among women. More precisely, Central-Eastern WS enhanced the likelihood of poor mental health among women in high precarious employment situations (quartiles 3 and 4).

CONCLUSIONS

These findings suggest the interaction between contextual and individual factors in the production of mental health inequalities, both within and across countries. They also call for the incorporation of gender-sensitive welfare policies if equitable and healthy labor markets are to be achieved in Europe.

The Effect of Inflation Targeting (IT) Policy on the Inflation Uncertainty and Economic Growth in Selected African and European Countries

The study assessed the effect of inflation targeting (IT) policy on inflation uncertainty and economic growth in African and European IT countries. This study contributes to the existing knowledge by analysing and comparing the African IT and European IT countries using two advanced approaches which include the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and Panel Vector Autoregressive (PVAR). To determine how the IT policy affects the inflation uncertainty in selected countries, time series techniques were employed. Panel data approaches were used to determine the effect of inflation targeting on economic growth in the selected countries. The results are as follows: (1) Inflation Targeting policy is insignificant in reducing inflation uncertainty in South Africa, and the effect of the policy in Ghana is inconclusive; (2) The IT policy has a significant impact in reducing inflation uncertainty in European countries (i.e., Poland and the Czech Republic); (3) Inflation targeting has a negative impact on economic growth in African Countries; (4) The policy has a positive impact on economic growth in European Countries; (5) In comparison to European countries, the strategy has a negligible impact on economic growth in Africa. Overall, the results suggest that European countries inflation targeting regimes are more credible in terms of reducing the level of inflation uncertainty and sustaining economic growth compared to African countries. In this respect, policymakers must ensure that they assess the economic condition of an individual country before implementing such a policy.

A Study of Knowledge Transfer and Organizational Culture in Two Project-Intensive IT Organizations

Facilitating knowledge transfer in organizations has proven to be challenging, and one of the most prominent obstacles for successful knowledge transfer is the organization’s culture. Therefore, the core objective of this study was to investigate how organizational culture affects the knowledge transfer process in project-intensive IT organizations. We conducted a multiple-case study with in-depth semi-structured interviews from two IT consultancy companies. We identified five main categories of factors within organizational culture that have a significant effect on knowledge transfer in project-intensive IT companies: organizational values, relationships and communication, leadership, project characteristics, and individual factors. The role of organizational values, cooperation, and leaders’ behavior are all crucial for successful knowledge transfer. Organizational values must support knowledge transfer. Cooperation creates the best environment for knowledge transfer, and leaders must be aware of their behavior.

The effect of the inflation rate on gross domestic product: An economic analysis for the Western Balkans countries

Background: One of the key indicators of a country's macroeconomic stability is certainly inflation. During the past year, there has been a general increase in inflation in Europe. The question arises as to how inflation affects other relevant indicators of the stability of a country. One of the most important indicators is gross domestic product. Purpose: This paper analyses the effect of the inflation rate on gross domestic product in the countries of the Western Balkans for the period 2006-2021, which includes the initial period of the emerging health crisis. Study design/methodology/approach: Official data from the World Bank was used to review the analysis of the state of inflation and gross domestic product. The same data was transformed into appropriate logarithms for proper econometric modelling. The methodology used to determine the effect of the inflation rate on the gross domestic product is multiple regression analysis with the ordinary least squares estimation method. Findings/conclusions: The results of the analysis indicate a positive effect of the gross domestic product deflator on economic growth in the sample countries, while the impact of inflation measured according to the consumer price index is not significant. Limitations/future research: Recommendations for decision-makers about inflation targeting, and further methodological approaches are given as part of the research conclusions.

Redeveloping the National Innovative Capacity Framework: European Union Perspective

This paper aims to redevelop the national innovative capacity framework and specify the influence of its’ elements on shaping the innovation performance of the EU nations. The objects of the empirical research are the EU member states for the period of 2000–2018. The collected data is employed in a multivariate Granger causality analysis that illustrates the causal links between the analyzed indicators and considers their dynamics. The results demonstrate that countries seeking to increase the levels of innovative outputs should mostly focus on scientific excellence and international economic activities. A redevelopment of the framework also helped discover that gender equality and corruption have causal links with all forms of the investigated innovation indicators—technological, non-technological, and commercial ones. The outcomes of this study highlight the most critical areas where EU member states could focus to improve their national innovation performance and may assist policymakers in the designing process of future innovation policies.

Regional Spatial Approach to Differences in Rural Economic Development: Insights from Serbia

Rural regions with a larger share of the primary sector in the overall economy are limited in their ability to achieve a sufficient level of competitiveness. In countries such as Serbia, where rural areas play an important role, addressing the problems affecting these areas is important for overall development. The purpose of this study is to determine the socioeconomic performance of the rural regions of Serbia and the EU in order to indicate the position of Serbia’s rural areas in the process of European integration. NUTS 3 (NUTS 2 for Germany) was used for analysis, and from this an Index of Socioeconomic Performance was created. This Index was created using Factor Analysis. The results point to Serbia lagging behind other EU regions in terms of development, with most of Serbia’s rural regions receiving the lowest ratings. These results are cause for alarm and indicate a need to create strategies that will direct resources towards key issues in these areas, whose potential would be adequately used through the implementation of rural policy measures, with the aim of overall socioeconomic development.

Performance analysis of Indian states based on social–economic infrastructural investments using data envelopment analysis

Purpose

This study investigates the performance of Indian states based on infrastructural investment in social and economic sectors using data envelopment analysis (DEA). Most of the studies in the literature are based on how different elements of infrastructure such as transport, energy, education, healthcare system affect the economy of different countries/regions. In this study, we consider these elements under two different sub-systems, namely, social and economic infrastructure and measure the cooperative efficiency for competitive growth.

Design/methodology/approach

A four-stage DEA approach is proposed for the analysis of a sample of 28 Indian states for the years 2011, 2013 and 2015 under consideration. First stage calculates the per capita GDP contribution, while stage-2 evaluates the efficiency of investments in social infrastructure followed by the efficiency analysis in economic infrastructure in stage-3. Finally, fourth stage evaluates the co-operative efficiency for the overall performance.

Findings

The findings of three different cases based on population sizes, viz., highly populated, moderately populated and less populated regions suggest that the government can identify the top and poor performers. It also studies the variations in efficiency tally of states using Malmquist indices.

Practical implications

This kind of study will vigilant government and local authorities on the investments made in all the states for social and economic infrastructure and establish a competitive environment among state governments to compete for improved infrastructural growth.

Originality/value

This study is the first of its kind in developing countries like India, which focuses on efficiency analysis using DEA based on two sub-sectors of social–economic infrastructural investments.

Civil Servants and Non-Western Migrants' Perceptions on Pathways to Health Care in Serbia-A Grounded Theory, Multi-Perspective Study

(1) Background: Informal patient payments continue to persist in the Serbian health care system, exposing vulnerable groups to private spending on health care. Migrants may in particular be subject to such payments, as they often experience barriers in access to health care. Little is known about migrants paying informally to access health care in Serbia. The study aims to explore pathways of accessing health care, including the role of informal patient payments, from the perspectives of civil servants and non-western migrants in Serbia. (2) Methods: Respondents (n = 8 civil servants and n = 6 migrants) were recruited in Belgrade in 2018, where semi-structured interviews were conducted. The interviews were analysed applying the grounded theory methodological steps. (3) Results: Data reveal different pathways to navigate the Serbian health care system, and ultimately whether paying informally occurs. Migrants appear less prone to paying informally and receive the same or better-quality health care. Locals experience the need to pay informal patient payments, quasi-formal payments and to bring medicine, materials or equipment when in health facilities. (4) Conclusions: Paying informally or using private care in Serbia appear to have become common. Despite a comprehensive health insurance coverage, high levels of out-of-pocket payments show barriers in accessing health care. It is highly important to not confuse the cultural beliefs with forced spending on health care and such private spending should be reduced to not push people into poverty.

A new neutrosophic sign test: An application to COVID-19 data

The Sign test is a famous nonparametric test from classical statistics used to assess the one or two sample averages. The test is practical when the sample size is small, or the distributional assumption under a parametric test does not satisfy. One of the limitations of the Sign test is the exact form of the data, and the existing methodology of the test does not cover the interval-valued data. The interval-valued data often comes from the fuzzy logic where the experiment's information is not sure and possesses some kind of vagueness, uncertainty or indeterminacy. This research proposed a modified version of the Sign test by considering the indeterminate state and the exact form of the data-the newly proposed sign test methodology is designed for both one-sample and two-sample hypothesis testing problems. The performance of the proposed modified versions of the Sign test is evaluated through two real-life data examples comprised of covid-19 reproduction rate and covid-positive daily occupancy in ICU in Pakistan. The findings of the study suggested that our proposed methodologies are suitable in nonparametric decision-making problems with an interval-valued data. Therefore, applying the new neutrosophic sign test is explicitly recommended in biomedical sciences, engineering, and other statistical fields under an indeterminate environment.

Development of management structures for future nursing services in the Republic of Kazakhstan requires change of organizational culture

Aim

This study's aim was to describe the development of new management structures for nursing services in pilot public healthcare organizations in the Republic of Kazakhstan by focusing on cultural change from the former Soviet system to the modern nursing management system.

Background

Because organizational culture plays an essential role in developing nursing management processes, the challenge in Kazakhstan is to change the deep‐rooted Soviet administration practices, such as top‐down management and the absence of a career structure in nursing, to meet the new public management system's requirements.

Method

Participatory method was used to generate organizational culture change in 31 pilot organizations.

Results

The organizational structures were reorganized with new nursing positions. Changes concerning nurses' job descriptions and educational requirements were introduced to the legislation. Workforce planning and work division between the healthcare professionals were suggested, allowing new operational functions for nurses. The implemented changes facilitate the culture change in the healthcare and nursing service system.

Conclusion

The shift of healthcare organizations towards a modern nursing management system has started in Kazakhstan.

Implications for Nursing Management

Good understanding and competence of cultural issues related to the change processes are critical in countries that are undergoing fundamental reforms in their healthcare systems.

Determinants of Bank Profitability in CEE Countries: Evidence from GMM Panel Data Estimates

Given the high resilience of the Central and Eastern Europe (CEE) banking sectors during the last financial crisis and their major role in the CEE region in financing the economy and supporting the high growth rates achieved there, our paper investigates the determinants of banking profitability in the CEE banking sectors based on a Generalized Method of Methods (GMM) approach using data between 2009 and 2018. We have selected determinants from the macroeconomic factors and from the financial-banking specific factors using a two-step GMM method. Our findings demonstrate that unemployment rate, inflation, budget balance, non-governmental credit, non-performing loan rates, concentration rate and capitalization rate negatively impact on the banking profitability in the CEE banking sectors. According to these findings, some policy recommendations were elaborated.

Linking ethical leadership to administrative innovation in Ethiopian banks: the mediating role of knowledge process capabilities

Purpose

This paper aims to examine the mediating role of knowledge process capability (KPC) between ethical leadership (EL) and administrative innovation (AI) in the banking sector of Ethiopia.

Design/methodology/approach

The study was conducted by a standardized questionnaire survey to collect the data from 266 employees of Commercial Bank of Ethiopia in 93 branches. The study employed structural equation modeling approach with Analyzing Moment of Structures 23.0 to test the hypothesized mediation model.

Findings

The results of this investigation disclose that EL has a significant and direct effect on AI and KPC. KPC also influences AI significantly.

Originality/value

The study revealed that KPC plays a partial mediating role in linking EL to AI, which is a new contribution to the existing literature of EL. This dimension can provide new dimensions to design organizational leadership which is based on sustainability paradigm. This can strengthen the organizational capabilities aiming to increasing innovative behaviors in order to have a deep-seated strategy.

Classification of Rural Areas in Serbia: Framework and Implications for Spatial Planning

The classification of rural and urban areas presents an important topic both in scientific research and in the practice of spatial planning, regional policy making, and territorial governance. Taking into account the multidimensionality of these areas, this paper aims to provide a classification framework design for rural areas in Serbia. After selecting the relevant indicators, which were included to reflect the main demographic, economic, and physio-geographical characteristics of the Serbian rural areas, multivariate analysis (principal component method and factor analysis) was used to determine the main factors in the delimitation and classification of rural and urban areas. The last step of the conducted methodology used cluster analysis (CA) that identified six types of areas with similar characteristics. The results of this study and applied methodology can improve the existing rural–urban classifications and help planners and policy makers in the adaptation of strategic development documents.

Banks and their technology investment decision are aligned or not – an experience of Indian banks

Purpose

The purpose of this study is to measure the impact of technology spend on bank profitability focusing on Indian public and private sector commercial banks. The study also assesses the longevity duration of impact for both public and private sector banks. The trade-off is created between the bank’s profitability and technology spent across four identified columns: increase product sales, reduce cost, enhance employee efficiency and optimally use existing resources.

Design/methodology/approach

The metrics of four columns converted to measurable 11 financial alarming indicators and impact is again checked on profitability indicator ROE. The data used for empirical analysis for the study are between the year 2003 and 2019, across 12 public and 15 private banks. The interface between technology spend and profitability is measured using panel vector autoregression (VAR) and panel vector error correction model (VECM) and further the link between 11 financial indicators and profitability measures is established using panel data analysis.

Findings

The study found that there is a mixed effect of technology spent on profitability and performance of Indian banks, where public sector banks were found to be more unstructured over private sector banks. The study advises the optimal technology spend strategies to gain enhanced productivity for banking business which are to name a few – planned technology reserves, customer awareness campaigns for products, robust employee-customer motivation policy and customized technologies aligned to existing infrastructure.

Originality/value

The data was original and extracted from the Reserve bank of India website and respective banks’ annual reports.

Factors Affecting the Implementation, Use, and Adoption of Real-Time Location System Technology for Persons Living With Cognitive Disabilities in Long-term Care Homes: Systematic Review

BACKGROUND

As the aging population continues to grow, the number of adults living with dementia or other cognitive disabilities in residential long-term care homes is expected to increase. Technologies such as real-time locating systems (RTLS) are being investigated for their potential to improve the health and safety of residents and the quality of care and efficiency of long-term care facilities.

OBJECTIVE

The aim of this study is to identify factors that affect the implementation, adoption, and use of RTLS for use with persons living with dementia or other cognitive disabilities in long-term care homes.

METHODS

We conducted a systematic review of the peer-reviewed English language literature indexed in MEDLINE, Embase, PsycINFO, and CINAHL from inception up to and including May 5, 2020. Search strategies included keywords and subject headings related to cognitive disability, residential long-term care settings, and RTLS. Study characteristics, methodologies, and data were extracted and analyzed using constant comparative techniques.

RESULTS

A total of 12 publications were included in the review. Most studies were conducted in the Netherlands (7/12, 58%) and used a descriptive qualitative study design. We identified 3 themes from our analysis of the studies: barriers to implementation, enablers of implementation, and agency and context. Barriers to implementation included lack of motivation for engagement; technology ecosystem and infrastructure challenges; and myths, stories, and shared understanding. Enablers of implementation included understanding local workflows, policies, and technologies; usability and user-centered design; communication with providers; and establishing policies, frameworks, governance, and evaluation. Agency and context were examined from the perspective of residents, family members, care providers, and the long-term care organizations.

CONCLUSIONS

There is a striking lack of evidence to justify the use of RTLS to improve the lives of residents and care providers in long-term care settings. More research related to RTLS use with cognitively impaired residents is required; this research should include longitudinal evaluation of end-to-end implementations that are developed using scientific theory and rigorous analysis of the functionality, efficiency, and effectiveness of these systems. Future research is required on the ethics of monitoring residents using RTLS and its impact on the privacy of residents and health care workers.

A Tutorial for Modeling Real Options Lattices from Project Cash Flows

ABSTRACT Context: several methods for evaluating real options have been extensively studied and published. But recombining binomial trees, known as lattices, are perhaps one of the most practical and intuitive approaches to model uncertainty and price project managerial flexibilities for real options applications. Although the Cox, Ross, and Rubinstein (1979) lattice model is simple to implement for financial options, modeling real options lattices requires a different approach such as the one proposed by Copeland and Antikarov (2001), which considers project cash flows as dividends in the lattice model. Objective: in this tutorial, we propose a code in an open-source software with intuitive guidelines to help researchers and practitioners model real options lattices from project cash flows. Method: our code considers the correct project’s volatility estimation, dividend yield modeling, and lattice building. Results: the results show how real options can affect the value of projects. Conclusions: as a contribution, this tutorial provides a simple mechanism for analyzing investment opportunities in projects that have uncertainty and flexibility.

Effects of cross-border acquisitions on efficiency and productivity of acquired companies: evidence from cement industry

Purpose

The purpose of this paper is to explore the effects of cross-border acquisitions on the efficiency and productivity of acquired companies in the cement industry in the context of a transitional economy.

Design/methodology/approach

The Data Envelopment Analysis (DEA) and Malmquist Productivity Index were used to assess the efficiency and productivity of the acquired companies over the period 2000–2018. DEA and Malmquist index are combined with bootstrapping to perform succinct statistical inferences for determining the accuracy of results. The study assesses partial efficiency and productivity of three inputs: material, capital and labour, as well as the total factor efficiency and productivity of the acquired companies in the short and long term after the acquisitions.

Findings

The research results suggest that efficiency of material, efficiency of labour and the total factor efficiency of the acquired companies are higher after the acquisitions than before, while efficiency of capital is lower. In addition, the results show that the acquisitions had a positive impact on total factor productivity of the acquired companies.

Practical implications

The results of this study have practical implications for managers, especially for policy-makers and industry analysts in deciding whether to encourage or discourage cross-border acquisitions in transitional economies.

Originality/value

The study contributes to a better understanding of the impact of cross-border acquisitions on efficiency and productivity of acquired companies in the manufacturing industry. Research in transitional economies related to subject matter is limited, and this study is the first empirical investigation of the effect of cross-border acquisitions on the efficiency and productivity in the cement industry in Serbia by applying the Data Envelopment Analysis.

Excavation of mass graves with Serbian context: Complexity of the political milieu

This paper will discuss the complexity of the investigation of mass graves in today's Serbia (part of ex Yugoslavia), belonging primarily to WWII with an exception of one mass grave from WWI, through the prism of historical events behind it. By interpreting historical and political circumstances, we will show why and on what occasions mass graves, as cultural-historical monuments and symbols of the sufferings of Serbs, Jews, Romani, and other nations or ethnic groups, remained outside the focus of expert teams. Also, through examples of explored sites related to WWII (Višnjica, Topola, Kragujevac, Ada Ciganlija), it will be shown the importance of engaging the forensic expert teams to locate sites, identifing victims and interpretation of historical events from their perspective.

Resource Rents, Human Development and Economic Growth in Sudan

This study investigates the relationship between natural resource rents, human development and economic growth in Sudan using co-integration and vector error correction modelling (VECM) over the period 1970–2015. Institutions proved to play a role in determining a difference in whether a country is cured or blessed by resource abundance. In the case of Sudan, no time series data is available on institutional quality and is therefore excluded from the analysis. The role of institutions and macroeconomic policies is captured by other variables included in the empirical model. Co-integration tests confirm the existence of a long run equilibrium relationship between resource rents, human development and economic growth in Sudan. Empirical evidence from the estimated VECM shows that economic growth is positively affected by resource rents and development expenditure but surprisingly negatively affected by life expectancy at birth in the short run. In the long run, resource rents, school enrolment, life expectancy and financial development have negative significant effects on economic growth. Only development expenditure is found to affect economic growth positively. Resource rents are found to weaken education and health levels and this is indirectly channeled into negative effects of resource rents on economic growth. These results suggest that the government has been neglecting investments to build up human capital necessary for inclusive growth. Long run Granger causality tests show a unidirectional causal relationship running from resource rents to GDP growth as well as from development expenditure to GDP growth. School enrollment, life expectancy and financial development are found to be negatively Granger causing GDP growth. Long run causal relationships reconfirm that a resource curse exists indirectly mediated by weak human capital. The study recommends that the government should manage natural resource rents with a policy framework supporting creation of a virtuous economic circle between human development and economic growth. If pursued, this would promote sustained, inclusive and equitable growth in Sudan.

An Investigation of What Factors Determine the Way in Which Customer Satisfaction Is Increased through Omni-Channel Marketing in Retail

There have been significant changes evident across the retail sector over the last 20 years, which have been primarily influenced by technological advancements. These changes have forced many retailers to rethink their business models and utilise a combination of both brick and mortar stores and online domains to present an integrated shopping experience. In order to gain an understanding of how customer satisfaction is increased through omni-channel retailing, we collected data through survey research, specifically through semi-structured interviews and questionnaires. In order to generate concise and accurate findings, the data were analysed using thematic analysis. From this analysis, three themes were generated. The first theme explores the reasoning behind preferred shopping methods and what influences these customers’ purchase methods. The second theme explores customers’ personal preference and investigates the potential of using virtual reality as a method for increasing customer satisfaction. Finally, the third theme looks into utilising interactive technology to create a diversified user experience. This theme explores the potential of utilising a communication platform for customers and also designing a tangible interface for disabled customers. This study has opened up an opportunity for future research and has outlined potential design insights in how to improve customer experience and customer purchase intentions.

An Integrated Organisational Culture for Sustainable Environmental Performance in the Nigerian Context

To remain competitive within the present inherent business environment, there is a demand for organisations to embrace an integrated culture-behaviour for performance that enables them to adopt a critical engine for a more sustainable working environment. Organisational culture, which is a reflection of predominant valued beliefs, is expected to influence a sustainable environmental performance. Evidence abounds of several organisational activities with adverse impacts on humans and the environment. The study examines an organisation’s processes that can be incorporated as a culture to ensure a more sustainable working environment. This paper proposes the use of six organisational culture practices (core value, reporting system, task performance, clarity of roles, careful deliberations, and distinctive identity) to find out organisation values, as well as individual preferences in enhancing an immediate sustainable environment. The study selected 480 employees of Fast-Moving Consumer Goods (FMCGs) firms who are active in their organisational work processes; 358 responded, and as such, was deemed as a valid research sample. The empirical analysis was carried out using a variance-based Structural Equation Modelling with partial least squares for the path-modelling (PLS-SEM), both for the Algorithm Model, and the Bootstrapping Model with β and p-values obtained from the findings. The findings provide empirical evidence that there is a significant level of influence of organisational culture on environmental performance. However, among the organisational practices, task performance has the least influence on environmental performance. This implies that organisations should invest more in the dimensions of organisational culture with higher performance-importance, while adequate attention should be given to variables with the least influence on the target construct of environmental performance.

The Balanced Energy Mix for Achieving Environmental and Economic Goals in the Long Run

In this paper, we seek to find a balanced structure of energy sources that can simultaneously achieve two essential goals: (i) the environmental (degradation) goal and (ii) the economic (growth) goal. This study combines quantitative and qualitative methods to estimate and then rank each of the energy sources (including coal, gas, oil, hydropower, and renewable energy) to achieve the above two goals. This paper uses the weighted scoring method, the most popular method in multi-criteria decision-making techniques, to combine the rankings using five energy sources and two goals from panel data of 28 countries from Organization for Economic Co-operation and Development (OECD) countries for the period 1980–2017. Techniques for estimating the mean group long-run effect, including fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS), are used. The empirical findings of this paper reveal that, in the long term, in achieving both environmental goals and economic goals, the OECD countries should consider adopting a balanced energy mix in which the following structure is preferred: (i) hydropower, (ii) renewables and (iii) fossil fuels (oil, gas, coal).

Aligning workplace wellness with global change: an integrated model

Purpose

The purpose of this study is to present evidence for a new model of change management designed to create a continuous integrated alignment between ongoing external organizational change and the proven internal environmental factors related to employee emotional wellness and workplace engagement that in turn directly impact organizational performance relationships within society and the human condition.

Design/methodology/approach

This research uses a quantitative approach based on both primary and secondary data. The secondary data includes an analysis of the 2018 Public Service Employee Survey of Canada (N = 163,121) conducted by the Government of Canada while the primary data involves a 2018 employee survey conducted by the author of both civilian and sworn police officer employees with the British Columbia division of the Royal Canadian Mounted Police (N = 2,129) as well as a 2019 survey by the author of Corrections Officers at the Kent Maximum Security Institution in Agassiz, British Columbia (N = 174).

Findings

The key findings presented in this paper provide new evidence that correlations between key organizational workplace factors and employee wellness and performance are directly linked to the ability to address rapidly evolving external environmental factors; that traditional change management approaches are often insufficient to create a positive nexus between the results of environmental scanning and internal workplace environments; and that a new holistic model described in this paper can serve as a powerful diagnostic tool for change managers to identify how internal organizational structures, systems and climates can harmonize with external climates including societal expectations, economic and technological change and public policy.

Research limitations/implications

The research findings pertain to about 100,000 employees of the Canadian public service and their readiness to manage well-established external environmental factors based on their rating of key internal environmental factors rated to workplace wellness and employee emotional health. Further research on the topic of external/internal organizational change adaptability is required specific to private sector organizations.

Practical implications

The practical implications of the change management matrix diagnostic model have been proven in earlier beta testing with a group of organizational executives. The presentation of the data in the matrix format resulted in quick and clear identification of major areas of required change. Those changes resulted in improved service delivery, public safety and public trust. A second test was conducted by MBA students successfully applying the matrix model to identify key areas requiring change in various case studies.

Social implications

Society at present has many new expectations of organizational behavior and citizenship as rapid changes in external environments occur including changes to technology, corporate governance, communications, economic conditions, social values, demographics and public policy. A failure by organizations to ensure that their internal environments of corporate culture, structure, systems and the workplace climate are in sync with external change presents major threats to employee and social well-being and organizational success.

Originality/value

A unique model of organizational change management is presented that allows for successfully adapting internal organizational environments to the challenges of meeting rapidly advancing integrated external environmental forces. The result becomes an integrated ecosystem of external and internal environmental forces that offer adaptability to complex and evolving challenges ranging from social, economic, technological and climate change.

Measurement and Influencing Factors Research of the Energy and Power Efficiency in China: Based on the Supply-Side Structural Reform Perspective

China’s supply-side structural reforms are facing bottlenecks in the energy and power sector, and improving energy and power efficiency and advancing reforms are urgent. To promote sustainable development, based on panel data from 30 provinces and cities in China from 2009 to 2017, this paper uses the super-efficiency DEA method to measure energy and power efficiency; explores the trend of energy and power efficiency changes before and after reform; uses the Tobit model to identify key efficiency factors; and provides policy recommendations to achieve reform goals. The research shows that China’s efficiency level takes the supply-side structural reform as the turning point and presents a volatile upward trend; from the situation of the country, technological progress, the economic development level, and the opening up level are positively correlated with the energy and power efficiency, among which the correlation coefficient between technological progress and efficiency is the highest. The study can offer a reference for the sustainable comprehensive utilization of China’s energy and power, and provide empirical evidence for other countries to improve the energy and power efficiency from the perspectives of theory and policies.

Core-periphery structure in sectoral international trade networks: A new approach to an old theory

The research on core-periphery structure of global trade from a complex-network perspective has shown that the world system is hierarchically organized into blocks and that countries play different roles in the world economy. Yet, little attention has been paid to investigating whether the sectoral international trade networks conform to a core-periphery structure, hence what is the role of different levels of processing in creating and maintaining structural inequality. This issue is of particular importance given the contemporary focus upon global production networks and reshaping of the international division of labor. With this in mind, we propose a model (LARDEG) from network science to reexamine old theories in economics, such as core-periphery structures in sectoral international trade networks and test whether the global value chains have changed structural positions in terms of the level of processing. The economic background of our model permitting a more accurate sorting of countries into structural positions and the general stability of results have provided for a more solid measurements than has hereto been possible. Our algorithm naturally produces networks with hierarchically nested block structure obtained from an iterative decomposition of the network periphery such that each block represents a vertex set of a maximal size sub-graph existing at different levels. The results not only lend support to the previous hierarchical model of the world-system (core, semi-periphery, and periphery) but also find that, depending on particular industry, the number of analytically identifiable blocks could be more than three. We show that ‘size effect’ is the one that prevails for core block membership at the first hierarchical level, while the GNI per capita is a much poorer proxy for the world-system status. Moreover, the patterns of blocks we label as the second- or third-level ‘core’ are strongly dependent on distance and geographical proximity. Overall, the various configurations of asymmetrical trade patterns between our blocks and the remarkably stable position of core countries at the top of structure clearly indicate that the rise of global production networks has actually restored a huge and unequal international division of labor splitting the world into ‘headquarter’ and ‘factory’ economies.