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The purpose of this paper is to shed light on how the relational capital of the information technology (IT) department creates value in organizations. In addition, the paper presents a multi-dimensional scale to measure and manage relational capital in the IT department.

In the first, explorative phase of the study, interviews and focus groups were conducted in order to develop a new measurement scale, which was subsequently tested through a survey questionnaire (212 respondents).

This research suggests that the relational capital of the IT department is a very important resource for the creation of strategic value. The statistical analysis conducted for this study confirmed the validity and reliability of the novel scale developed to measure this resource. Finally, thanks to factor analysis, five dimensions for the scale were identified.

Data were collected in northern Italy only. Further studies are advisable to confirm the validity of the constructs and scale.

The questionnaire presented in this study can be used to monitor the effectiveness of the interactions between the IT department and the other key actors involved in IT-enabled innovation. The adoption of this scale and its possible adaptation to specific, evolving business contexts may enhance the practitioner’s understanding of the role of relational capital in the value creation process.

The paper contributes to the “third stage” of intellectual capital research by concentrating on an intra-organizational level of analysis, which has been overlooked in the literature to date.

Current trends and recommendations regarding one-to-one (1:1) educational initiatives suggest that they are efficacious ways to achieve innovative change in education, namely through the promotion of active and innovative teaching practices. From a constructivist point of view, tablet devices offer teachers the potential to adopt interactive student-centred activities and to facilitate a process of learning in which students are actively involved and encouraged to be responsible and autonomous. This chapter describes a 1:1 tablet initiative that aims to promote changes in education by broadening and diversifying the activities in which students are involved and learn. It examines tablet use and teaching practices as experienced by 42 students from two lower secondary schools in Portugal. Data collection involved a questionnaire and two focus groups conducted a year after the implementation of the initiative. Results suggest tablet use to support innovative teaching practices, which fostered students’ engagement and deeper understanding of topics. Results also evidence tablet use to maintain traditional teaching practices, which undermined students’ expectations and prevented them to become more active learners.

The purpose of this study is to analyze the nonlinear relationship between electricity consumption (EC) and electricity transmission losses (ETL) in Ghana. Also, we examined how ETL moderate the effect of EC on economic growth in Ghana from 1980 to 2021.

We used timeseries data from 1980 to 2021 within an autoregressive distributed lag framework to analyze the links among ETL, EC and economic growth in Ghana.

Findings show the existence of an asymmetric long-run relationship between EC and ETL. Also, the negative effects of ETL on EC are bigger in the long run. In addition, ETL and EC combine to reduce economic growth, in the long run, providing evidence for the energy-led growth theory in Ghana. Population and inflation were also found to have a significant effect on economic growth in Ghana.

We examined the nonlinear nexus of EC and ETL, which extant studies have ignored in discussing the link between EC and economic growth. Again, we showed that ETL reduces EC causing a reduction in economic growth.

Introduction: Although the concept of energy security has different meanings for each country, it is included in the energy policies of all countries in general. Energy security policies have more strategic importance especially for energy-importing countries. Imported energy sources are widely used in Turkey as in many countries. The variety of imported energy sources and the density of imports according to the imported countries affect the security of imported energy supply. Although the high density of imports is a risk factor, there are political and structural factors that may affect economic relations with the countries where energy is imported.

Aim: The aim of this study is to measure the short-term risk for the import of fossil resources in Turkey for the period 1999–2018.

Method: An index has composed by revising the risky external energy supply index included in the study of Le Coq and Paltseva (2009).

Findings: Empirical findings showed that on average, the most risky source of imports based on fossil resources is oil, followed by natural gas and coal respectively.

Originality of the Study: Various risk factors such as fossil fuel import intensity, political risk, and logistics performance have been taken into consideration in the proposed index. So this index proposed for Turkey, is expected to offer a different perspective to the energy supply security literature.

Implications: The proposed risk index has enabled the measurement of the level of risk in imported fossil sources in Turkey. Thus, policy implications have been made for energy supply security.

This paper aims to examine the effects of oil price uncertainty on corporate investment of Islamic stocks during the COVID-19 pandemic.

The study uses a panel data set that covers 398 listed Islamic stocks from seven major Asia Pacific countries over the period of five years from 2017 to 2021, yielding 1,990 observations. Specifically, this paper investigates the said association by combining the real options theory regarding investment and the panel data-based econometric method that captures the dynamic relationship, the generalized method of moments estimators.

The findings show that the relationship between the oil price volatility and corporate investment of Islamic stocks is significant and nonlinear in nature, suggesting the presence of both the growth options and the waiting options. Overall, the results reveal that corporate investment of Islamic stocks is hindered during the unprecedented corona crash, when oil price increases at exponential rates.

The findings suggest that considering the information caused by unprecedented events like the COVID-19 pandemic is crucial for investment decisions of Islamic stocks. Therefore, policymakers and regulators should incorporate the impact of oil price uncertainties caused by unprecedented events like the COVID-19 pandemic on firm’s investment expansion and diversification strategies.

To the best of the authors’ knowledge, this paper is the first to examine the relationship between the investment of Islamic stocks and the oil price uncertainty under compound options theory in top Asian oil-importing countries.

This paper aims to examine the cross-quantile correlation and causality-in-quantiles between green investments and energy commodities during the outbreak of COVID-19. To be specific, the authors aim to address the following questions: Is there any distributional predictability among green bonds and energy commodities during COVID-19? Is there exist any directional predictability between green investments and energy commodities during the global pandemic? Can green bonds hedge the risk of energy commodities during a period of the financial crisis.

The authors use the nonparametric causality in quantile and cross-quantilogram (CQ) correlation approaches as the estimation techniques to investigate the distributional and directional predictability between green investments and energy commodities respectively using daily spot prices from January 1, 2020, to March 26, 2021. The study uses daily closing price indices S&P Green Bond Index as a representative of the green bond market. In the case of energy commodities, the authors use S&P GSCI Natural Gas Spot, S&P GSCI Biofuel Spot, S&P GSCI Unleaded Gasoline Spot, S&P GSCI Gas Oil Spot, S&P GSCI Brent Crude Spot, S&P GSCI WTI, OPEC Oil Basket Price, Crude Oil Oman, Crude Oil Dubai Cash, S&P GSCI Heating Oil Spot, S&P Global Clean Energy, US Gulf Coast Kerosene and Los Angeles Low Sulfur CARB Diesel Spot.

From the CQ correlation results, there exists an overall negative directional predictability between green bonds and natural gas. The authors find that the directional predictability between green bonds and S&P GSCI Biofuel Spot, S&P GSCI Gas Oil Spot, S&P GSCI Brent Crude Spot, S&P GSCI WTI Spot, OPEC Oil Basket Spot, Crude Oil Oman Spot, Crude Oil Dubai Cash Spot, S&P GSCI Heating Oil Spot, US Gulf Coast Kerosene-Type Jet Fuel Spot Price and Los Angeles Low Sulfur CARB Diesel Spot Price is negative during normal market conditions and positive during extreme market conditions. Results from the non-parametric causality in the quantile approach show strong evidence of asymmetry in causality across quantiles and strong variations across markets.

The quantile time-varying dependence and predictability results documented in this paper can help market participants with different investment targets and horizons adopt better hedging strategies and portfolio diversification to aid optimal policy measures during volatile market conditions.

The outcome of this study will promote awareness regarding the environment and also increase investor’s participation in the green bond market. Further, it allows corporate institutions to fulfill their social commitment through the issuance of green bonds.

This paper differs from these previous studies in several aspects. First, the authors have included a wide range of energy commodities, comprising three green bond indices and 14 energy commodity indices. Second, the authors have explored the dependency between the two markets, particularly during COVID-19 pandemic. Third, the authors have applied CQ and causality-in-quantile methods on the given data set. Since the market of green and sustainable finance is growing drastically and the world is transmitting toward environment-friendly practices, it is essential and vital to understand the impact of green bonds on other financial markets. In this regard, the study contributes to the literature by documenting an in-depth connectedness between green bonds and crude oil, natural gas, petrol, kerosene, diesel, crude, heating oil, biofuels and other energy commodities.

This study aims to assess the role of financial inclusion (FI) in moderating the incidence of entrepreneurship on energy poverty in Ghana.

The assessment is made by using pooled data and two-stage least squares. The exposition builds from the 7th (GLSS7) and 6th (GLSS6) rounds focusing on the Ghana Living Standards Survey (GSS, 2014, 2019) that is collected by the Ghana Statistical Service (GSS) from 10 principal regions in the country.

The findings show that entrepreneurship has an unconditional positive incidence on energy poverty while the interactive incidence between entrepreneurship and FI on energy poverty is negative. The corresponding FI policy thresholds that should be exceeded in order for FI to effectively moderate entrepreneurship for negative outcomes in energy poverty are between 0.154 and 0.280 index for the full sample; 0.187 index for the rural subsample; 0.200 and 0.333 index for the male sample. Thresholds are not computed for the rural and female subsamples because at least one estimated coefficient that is needed for the computation of such thresholds is not significant. Policy implications are discussed.

This study has complemented the existing literature by assessing how FI can be used to influence the nexus between entrepreneurship and poverty in Ghana.

In the recent decades, the green projects have suffered from serious lack of investment, highlighting the major role of green financing to attract private investors to these projects. The main purpose of this paper is to explore the economic impacts of green bond (GB) market in 37 Asian economies.

To empirically analyze the impacts of issued GBs on different macroeconomic variables of 37 Asian countries, the co-integration and causality approaches are employed to analyze the data for the period of 2002–2018.

The primary findings indicated the presence of a unidirectional causal direction running from inflation rate, inward FDI, governance indicator, and human development index to issued GBs for the sample of Asian economies that were analyzed. Regarding Group I (higher and upper-middle income Asian countries), there are bi-directional relationships between the GB and other variables, indicating that the policies of governments in each variable influence other variables, whereas for Group II (low and lower-middle income Asian countries), there are uni-directional relationships running from HDI, governance indicator, and inflation rate to GBs, but only bi-directional causal relationships.

In Asian economies with a lower per capita income, implementing policies to enhance the efficiency of issued GBs so that they have a positive impact on economic activities and human development may be an appropriate strategy with major policy implications. In this way, financial system improvement, financing rural electrification and the transition to electric vehicles through GBs are recommended, while for the case of high- and upper-middle-income economies in Asia, simplifying capital flows from abroad to the GB market can be considered a practical policy.

This study contributes to current green finance research by studying the effects of several variables on the GB market for the instance of Asian countries with low and lower-middle incomes, as well as high-upper middle incomes.

This paper aims to investigate the relationship between oil price shocks and world food prices between 1974 and 2018.

The authors use the SVAR model to disentangle the oil price into supply, aggregate demand and oil-specific demand shocks and apply the detrended cross-correlations analysis to measure the association between oil price shocks and food returns/volatility and analyze contagion effects between oil and food markets.

The results show that the correlations between oil and food prices depend on whether oil prices changes are driven by supply or demand shocks. Particularly, food returns (volatility) are positively (negatively) more dependent on the oil price changes driven by aggregate demand (oil specific demand) shocks. Further analysis dealing with contagion analysis between oil and food markets shows a contagion effect during the food crisis of 2006–2008. Oil-specific demand shocks are the main source of this phenomenon.

This study differentiates itself from the previous literature by simultaneously disentangling oil price into supply, aggregate demand and oil-specific demand-driven shocks and evaluating the cross-correlations between each shock type and food returns/volatility. Specifically, this study has the originality of detecting the main source of contagion effects between oil and food markets over the food crisis of 2006–2008.

The results of this study are important for policymakers and investors. They should account for the oil price fluctuations differently depending on whether the oil price shocks are driven by the demand or supply side. Moreover, they should anticipate an increase (decrease) in food prices due to a positive (negative) oil shock. In addition, special attention should be accorded to the world oil demand. Finally, when a food crisis occurs, markets operators should focus more on the specific oil-demand shocks, as it is the most contributor to possible contagion effects between oil and food markets.

This study differentiates itself from the previous literature by simultaneously disentangling oil price into supply, aggregate demand and oil-specific demand-driven shocks and evaluating the cross-correlations between each shock type and food returns/volatility. Specifically, this study has the originality of detecting the main source of contagion effects between oil and food markets over the food crisis of 2006–2008.