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The purpose of this research is to develop a methodological approach to assessing the impact of the architecture effectiveness of the enterprise business model on the level of its competitiveness. The study methodology suggests the author’s approach to assessing the architecture effectiveness and the level of enterprise competitiveness. The scenario approach was used in order to the evaluate the connection between competitiveness, business model potential and enterprise architecture based on the economic-mathematical method of solving the nonlinear optimization problem through the use of hierarchical synthesis. The study was conducted according to the materials from 15 private clinics in Ukraine. The analysis of the obtained indices of architecture efficiency, competitiveness and potential level of the business model of the private clinics under study was carried out. It is determined that the level and growth rates of the enterprise architecture efficiency of private clinics have significant distinctions, which affect the level of their competitiveness. A group of leading companies in terms of the level of business model potential is singled out based on the definition of the correlation between the level of business model potential and the enterprise architecture efficiency. It is established that the level of business model potential of private clinics is substantially dependent on the level of enterprise architecture efficiency. It is proved that the efficiency of enterprise architecture has a significant influence on the potential and competitiveness of the business model. The novelty of the study consists in the methodological approach to assessing the impact of business model architecture on the level of its competitiveness, taking into consideration the identification of functional rather than strictly parametric correlation between variables. This research can be useful for professionals, scientists and researchers involved in developing and implementing effective business models and designing the enterprise architecture in order to achieve the company’s strategic intentions and to create and maintain competitive market positions.

Objective: This study examines the asymmetric impact of both internal (military, education, and health expenditures) and external (trade opening and foreign direct investment) factors that contribute to poverty reduction. Methodology: To find an asymmetric relationship between the proposed variables, we used a non-linear ARDL co-integration approach for the period ranging from 1981-2019. Findings: The findings of the study confirm the asymmetric impact of internal (education, military, health expenditures, quality of governance) and external (foreign direct investment, openness) factors on poverty. The finding confirms that ignoring nonlinear or asymmetric properties of macroeconomic variables may mislead inferences. This study has policy implications for government officials to reduce poverty. Novelty: theeconomic theory of poverty is studied from different perspectives by using internal and external factors that have direct and indirect effects on poverty. Furthermore, for in-depth analysis, a nonlinear approach is used to determine which factor has a strong contribution to eliminating poverty. Doi: 10.28991/ESJ-2023-07-03-07 Full Text: PDF

In an asymmetric information environment, investors diversify their investments to minimize risk and maximize their wealth. Such diversification ranges from one market to another market and from one country to another country. Investors prefer foreign portfolio investment over foreign direct investment because of the economy's turmoil, changes in macroeconomic indicators, and market liberation. This study analyzes the dynamic relationship among stock market volatility, foreign portfolio investment, and macroeconomic indicators (foreign exchange rate, interest rate, and Gross Domestic Product) using the dynamic long-run Auto-regressive Distributed Lag (ARDL) model concerning the Pakistan environment. This study also considers the impact of multiple structural breaks, representing variables' endogenous and exogenous shocks. The secondary data is used from Oct. 01, 2009, to Sept. 30, 2019, with monthly frequency. The results indicate a co-integration between SMV, FPI, FXR, IR, and GDP. In short-run analyses, the error correction term is statistically significant, while in the long run, the SMV, FPI, and FXR are not impacted. As no evidence of volatility has been found between SMV and FPI, unidirectional or bi-directional policies can be devised to further attract the new FPI for strengthening the foreign reserves, the balance of payments, and other macroeconomic variables. Additionally, investors should update their knowledge based on considering the endogenous and exogenous shocks on the SMV.

This study evaluates the determinants of Economic freedom, innovation and technology concerning Chinese foreign direct investment. The aim of the study is to explore, that how these determinants influence Outward Foreign Direct Investment (OFDI) from China toward different regional economies. The study will enrich the existing literature by providing useful policies to the concerned economies to influence more Chinese FDI to host economies. The panel data set includes 27 (African, European, and Asian) Countries data over the period of 2003 to 2018. Moreover, the study employed panel data analysis and the result reveals that property rights, patents residents (pantentAR), Research & Development (R&D), Inflation, official exchange rate (OER), and Tax Burden (TaxB) have a strong positive and significant impact on Chinese OFDI in the selected sample countries, While Government Expenditures (GovE) has positive, but insignificant impact on Chinese OFDI. On the other hand, Chinese OFDI is negatively and statistically significant association with Business Freedom (BusF). This study will put forth considerable policies to the concerned to induce further inflows of Chinese FDI into the host countries. The policymakers should build policies that provide a comfortable environment for business activities and mostly focus on value-added production i.e., expenditures on R&D to enhance high-technology exports because they efficiently attract FDI into host countries. Another key factor is Tax Burden (TaxB), which significantly influences Chinese FDI along with other factors.

Environmental deregulation has become a severe concern for public health around the world. Increased pollution and ecological degradation have diverted attention towards adopting green practices, which can be possible if the sustainable green finance system is implemented in its true spirit. But previous studies reported certain factors affecting its implementation process, particularly in developing countries. This study aims to identify and quantify the barriers to adopting a green finance system. First, it identified twenty barriers through an extensive literature review and semi-structured interviews with experts in the fields of financial management, economics, and environmental sciences. Later, eighteen factors were finalized by the consensus of panel experts, which was further used to analyze their interrelationship through Interpretive Structural Modelling (ISM). Using MICMAC analysis, these barriers were categorized based on their diving-dependence powers. Finally, the conceptual ISM model is developed that provides a clear picture of the impediments to the green finance adoption system and their flow relationship among the identified barriers at different levels. The findings suggest that global level factors: lack of pressure from international organizations and unavailability of globally acceptable green criteria are critical to the prevalence of other factors that indicate its centrality to effectively implementing the green finance system. The developed model helps in designing, implementing, and promoting eco-friendly projects. It is also recommended that an appropriate framework is required to be developed at global, country, organizational, and individual levels to deal with the barriers of the green finance adoption system. Doi: 10.28991/ESJ-2022-06-02-02 Full Text: PDF

The aim of this study was to examine the relationship between the country of origin image of a product and consumers' purchasing behavior in Nigerian hypermarkets, as well as the mediating role of perceived price in this relationship. The research considers four aspects of purchasing behavior: information search, product evaluation, purchase decision-making, and post-purchase behavior. A total of 1272 participants completed an online survey, and the data collected was analyzed using structural equation modeling. The results indicated that the country of origin image of a product has a significant and positive impact on consumers' information search, product evaluation, purchase decision-making, and post-purchase behavior. The study also found that perceived quality does not mediate the impact of country of origin image on information search and product evaluation, but it does play a significant and positive role in purchase decision-making and post-purchase behavior. As a result, it is important for Nigerian hypermarkets to be aware of the origin of the products they import, as importing from countries with a positive image can enhance their performance. Furthermore, perceived quality can mediate purchase and post-purchase decisions.

The purpose of this study is to explore the role of potential and realized absorptive capacity on project success through both the mediating roles of strategic agility and the moderating role of project complexity. A simple random sampling was used to collect data from 285 respondents working in the IT sector of small-medium sized Portuguese enterprises (SMEs). Due to the Covid-19 pandemic, data were collected from and distributed on, several online channels (Gmail, LinkedIn, Twitter, and Facebook). Smart PLS-SEM, version 3.2.8 was used for the analysis. The results indicate that the two absorptive capacity sub-dimensions, potential and realized absorptive capacity, not only directly affect a project's success but also indirectly through the mediator of strategic agility. Although the moderating role of project complexity has a positive and significant effect on the relation between potential absorptive capacity and strategic agility, it is insignificant concerning the relation between realized absorptive capacity and strategic agility. Finally, theoretical and practical contributions are made, research limitations are stated and future research is suggested.

ABSTRACT: A wide range of recent studies are focusing on current issues of financial fraud, especially concerning cybercrimes. The reason behind this is even with improved security, a great amount of money loss occurs every year due to credit card fraud. In recent days, ATM fraud has decreased, while credit card fraud has increased. This study examines articles from five foremost databases. The literature review is designed using extraction by database, keywords, year, articles, authors, and performance measures based on data used in previous research, future research directions and purpose of the article. This study identifies the crucial gaps which ultimately allow research opportunities in this fraud detection process by utilizing knowledge from the machine learning domain. Our findings prove that this research area has become most dominant in the last ten years. We accessed both supervised and unsupervised machine learning techniques to detect cybercrime and management techniques which provide evidence for the effectiveness of machine learning techniques to control cybercrime in the credit card industry. Results indicated that there is room for further research to obtain better results than existing ones on the basis of both quantitative and qualitative research analysis.

Electronic marketing (eM) is a flourishing phenomenon that is gaining intense concern because of a significant impact on organizational performance. Over the past few decades, the relevance of eM has been observed in numerous fields (e.g., consumers, organizational strategy, advertisement, and overall philosophy of management to understand the insights globally). To effectively maneuver the field, all stakeholders, particularly academicians and practitioners, must comprehend the current position of the eM theory and practices for dynamic utilization. A systematic bibliometric analysis can serve this issue by providing a holistic view of the publication trend and its trajectory in terms of various themes, including citations and publication metrics. This study analyzes the bibliometric data from 2000 to 2019 to reveal the most productive countries, universities, authors, journals, and prolific publications in electronic marketing. To this end, VOS viewer software was used to visualize the mapping based on co-citation, bibliographic coupling (BC), and co-occurrence (CC). The primary addition of this research is to provide an overview of eM tendencies and paths that may help researchers know the tendencies and future research directions worldwide.

The banking sector has a significant impact on a nation’s financial stability and economic development. As one of the fundamental components of the financial sector, banks offer services that are essential for the expansion of the markets. The stability of the financial system is significantly impacted by the efficiency of the banking sector. COVID-19 has had a tremendous effect on the economy. This pandemic cannot be disregarded, considering how widespread it has been and how many people it has affected globally. Both society and the global economy have undergone profound change. Hence, it is critical to ascertain how severely the outbreak has impacted the banking system. To assess the potential impact of pandemic, the current study examined conventional and Islamic banking. This study also investigates how COVID-19’s moderating effect influences the banking system. Financial statements from 10 conventional banks and 5 Islamic banks in Pakistan are the sources of this study’s sample data. COVID-19 is a moderator in this study. The empirical estimations by means of the fixed-effects approach suggests that the moderator has a large impact on bank profitability. In addition, COVID-19 appears to have a stronger influence on the Islamic banking system.

The Micro Financial Institutions (MFIs) have been touted as development strategies for Emerging Markets and Developing Economies (EMDEs) which merits research into the effect of financial development on the efficiency and sustainability of the MFIs. The Efficient and sustainable MFIs significantly paved the way for the economic development of a country particularly in developing countries. Surprisingly there are very rare studies that examine the nexus of financial development, MFIs efficiency, and sustainability. Also, these studies are confined to the impact of financial development either on the efficiency or sustainability of MFIs. Addressing this gap, the study attempts to explore the country-specific and MFIs-specific factors which significantly affect the efficiency and sustainability of the MFIs. For this purpose, the study first determines whether financial development contributes to the efficiency and sustainability of MFI. Secondly, the effect of MFIs’ specific characteristics such as credit risk, market risk, liquidity risk, lending strategy, Development Financial Institutions (DFIs) funds management, financial outreach, and poverty alleviation on the efficiency and sustainability of MFIs. The study has been conducted for Bangladesh, India, and Pakistan consisting of a panel data set of 12 MFIs over a period spanning from 2008–2018 using Stochastic Frontier Analysis and Cobb Douglas production function regression analysis. Overall empirical analysis reveals that financial development has significantly affected the efficiency and sustainability of the MFIs. While specific characteristics such as poverty alleviation and DFIs funds management have been shown to improve MFIs efficiency whereas an increase in credit risk, lending strategy, and market risk decrease MFIs sustainability and liquidity risk along with an increase in financial outreach leads to a decrease in MFIs efficiency. The directions and magnitudes of the findings suggest the stakeholders for all three countries for the significant direction leads to the efficiency and sustainability of MFIs. Moreover, future research could strive to understand the aspects of financial development which negatively correlate with the MFIs’ efficiency and sustainability such as stringent tax policies, creditor rights protection, and implementation of rules and regulations.

Undoubtedly, fossil fuel energy consumption causes global warming. The question at the core is whether or not we want to quit energy consumption? The obvious answer to this question is “no.” Therefore, the necessity for innovation is curial to attain green energy and sustainable growth. This research specifically focused on Colombia, which represents the aforementioned threats to a large extent as the trajectory of economic expansion is characterized by significant CO2 emissions in Colombia. In this regard, we examine the association between globalization, renewable energy, natural resources rent, economic growth, and CO2 emissions from 1970 to 2017. The cointegration test confirmed a long association between the considered variables. This study employed the Fully Modified Ordinary Least Squares, Dynamic Ordinary Least Squares, and Autoregressive Distributed Lag estimators for the long-run analysis. The long-run empirical results uncovered growth-induced emissions in Colombia. The result illustrated that the path of development is unsustainable in Columbia. In contrast, globalization and renewable energy demonstrated a favorable contribution to environmental quality. The outcomes of the Gradual Shift Causality indicated that globalization, natural resource rent, and economic growth Granger cause CO2 emissions. The findings highlight the need to enact well-coordinated measures to reduce environmental deterioration in Colombia. Colombia must aggressively promote the development of renewable energy and also foster a better viable environment for renewable energy investment to mitigate environmental damage caused by economic growth.

Price discovery function analyses the dynamics of futures and spot price behavior in an asset’s intertemporal dimensions. The present study examines the price discovery function of the bullion, metal, and energy commodity futures and spot prices through the Granger causality and Johansen–Juselius cointegration tests. The Granger causality test results show bidirectional causality between the spot and futures returns for gold, silver, aluminum, lead, nickel, and zinc. The Johansen cointegration test shows that spot and futures prices are in the long-run equilibrium path for silver, aluminum, lead, nickel, zinc, crude oil, and natural gas. The vector error correction model results suggest that both the spot and futures markets are equally efficient in price discovery for the nickel. The spot market leads the futures market in price discovery for copper and zinc. However, the futures market leads the spot market in price discovery for silver, aluminum, and lead. The findings of the study suggest the market participants for implementing hedging and arbitrage strategies. It also helps the market regulators to examine the stability of these rapidly growing commodity futures markets in India.

The continuous growth in CO2 emissions of nations around the globe has made achieving the aim of sustainable development extremely challenging. Therefore, the current research assesses the connection between CO2 emissions and economic complexity in the top 7 economic complexity countries while taking into account the role of economic growth, renewable energy consumption, and globalization for the period between 1993 and 2018. The research aims to answer the following questions: 1) What is the association between CO2 and the regressors in the long-run? 2) What are the effects of renewable energy consumption, economic growth, economic complexity, and globalization on CO2 emissions? The research utilized the CS-ARDL, CCEMG and panel causality approaches to investigate these interconnections. The empirical outcomes revealed that economic growth and economic complexity increase CO2 emissions while renewable energy consumption and globalization mitigate CO2 emissions. The outcomes of the causality test revealed a feedback causal connection between economic growth and CO2, while a unidirectional causality was established from economic complexity, globalization and renewable energy consumption to CO2 emissions in the top 7 economic complexity countries.

Inventory leanness requires that firms minimize inventory mistreatment and misuse. A firm performance deteriorates because of high inventory misuse, and because of such an issue, the effect on the firm’s credit rating can also be seen. This study examines the effect of inventory leanness on firms’ credit ratings. It aims to create an understanding of the relationship between inventory leanness and the firm’s financial performance and provides insight into the credit rating system of Pakistan. We analyze secondary Pakistan data between 2008 and 2017. Among the sixty firms on Pakistan Stock Exchange that are rated by PACRA, only thirty-eight have complete data available on their respective websites. By using panel data analysis, the results indicate that inventory leanness and credit ratings are positively related. In an added analysis, we evaluate the financial performance in the context of credit rating by using control variables (size, leverage, and capital intensity ratio) and dummy variables (loss and subordinate debt). Our results are consistent with earlier studies.

The development of an enterprise under current conditions requires an integrated approach and an appropriate financing system. The purpose of this study is to justify the replication model of financing the integrated enterprise development. The research methodology suggests that each enterprise has its own development “genome”, which makes it possible to apply the replication of its directions based on a justified financing system of such an integration. The proposed replication model is augmented by regression analysis, which made it possible to carry out scenario forecasting of alternative options for the company’s development. The conduction of the study is based on 16 textile enterprises. The formed map of the integrated enterprise development enabled the determination of their points to replicate resources in four directions (environmental and economic, innovative, informational, and organizational). The interaction of companies on the basis of strengths diffusion (exchange of potential) with the application of financial netting is considered an alternative to replication. The research proved that an alternative option can solely be recommended for developed companies and requires the identification and minimization of risks. The strong link between the level of integrated and overall development of companies was acknowledged. Asymmetry of business development in the context of a replication model of its integration enables the achievement of high results while minimizing financial resources. Enterprises implementing the replication model of integration considerably improve their prospects and increase overall development performance. The application of the replication model of financing integration under the crisis and the COVID-19 pandemic fosters efficient use of financial resources and the overall enterprise development.

The sustainable financial behavior and financial well-being have been a key concern among the developing societies; thereby encompassing the various psychological factors which play a role in influencing individual's positive financial behavior and financial well-being, this study is conducted. Research focusing on the psychological aspect of human financial behavior and well-being is scarce, focusing more on the cognitive side such as financial literacy and numeracy. The aim of this research study is to find the role played by the non-cognitive factors such as self-esteem, self-control, optimism and deliberative thinking, in forming the financial behavior and financial well-being of the young adults. A sample of 429 university students from public and private sector was collected via an online and field survey using purposive sampling technique. The survey contained measures for demographics, self-esteem, optimism, deliberative thinking, self-control, general financial behavior and financial well-being. SPSS and PLS-SEM tools were used for the exploration of the relationships among dependent and independent variables. The results of PLS path analysis demonstrate that among the non-cognitive factors, self-control and deliberative thinking show a significant association with both financial behavior, and financial security. Self-esteem plays no significant role in forming the financial behavior of the young adults when all the variables are taken together but it exhibits a significant association with financial well-being (financial security and financial anxiety). Optimism on the other hand exhibits no significant association with both financial behavior and financial well-being (financial security and financial anxiety). The results of this study complement the previous studies and also put forth new outcomes. This research is unique as it is the first of its kind conducted in a consumption-oriented economy like Pakistan. In addition to the previous studies which have often established the link of self-esteem with general well-being, this study goes further by analyzing the association between self-esteem and financial well-being and by the identification of the role played by non-cognitive factors like self-esteem, optimism, deliberative thinking and self-control together on the financial behavior and financial well-being of the individuals using PLS-SEM approach.

Today, the growing Asia-Pacific population causes a dramatic growth in energy supply to meet energy demand. The rapid rise in energy demand is causing concern in the region. Thus, the present study scrutinizes the effect of energy policy involvement in steering-up renewable energy development by empirically assessing the role of policy instruments in encouraging residential-scale and commercial-scale photovoltaic (PV) systems. The analysis is performed using a fixed effects estimator on a selected range of policy approaches (market-pull policies and tax incentives) and a technology-push policy (capital grants) in selected Asia-Pacific countries between 1998 and 2015. The return on investment is estimated to measure the incentives of feed-in tariff (FIT) tariff policies for both residential-scale and commercial-scale PV systems. This study has shown the importance of a strategic combination between technology-push and market-pull policies as complementary to adopting technology and increasing renewable energy utilization for solar PV systems on a residential scale. Investigations into the effectiveness of regulatory support policies for solar PV systems indicate that energy policies are necessary to facilitate solar PV growth on a residential scale in the Asia-Pacific.

This empirical study assesses the effect of CO2 emissions, urbanization, energy consumption, and agriculture on Thailand’s economic growth using a dataset between 1970 and 2018. The ARDL and the frequency domain causality (FDC) approaches were applied to assess these interconnections. The outcome of the bounds test suggested a long-term association among the variables of investigation. The ARDL outcomes reveal that urbanization, agriculture, energy consumption, and CO2 emissions positively trigger Thailand’s economic growth. Additionally, the frequency domain causality test was used to detect a causal connection between the series. The main benefit of this technique is that it can detect a causal connection between series at different frequencies. To the understanding of the authors, this is the first study in the case of Thailand that will apply the FDC approach to capture the causal linkage between GDP and the regressors. The outcomes of the causality test suggested that CO2 emissions, urbanization, energy consumption, and agriculture can predict Thailand’s economic growth in the long term. These outcomes have far-reaching implications for economic performance and Thailand’s macroeconomic indicators.

Human industrial activities are bringing physiochemical changes to the land, air, and seas and leading towards more uncertain climate changes, like drought, thunderstorms, and heat waves. This has resulted in water scarcity because of overexploitation of water resources. It is therefore imperative to develop effective conservation programs that consider the factors that affect the decisions of people with regard to water conservation and sustainable activities. This study considered the perspective of a developing country and explored the impact of three psychosocial factors, i.e., subjective happiness, perceived stress, and personal well-being, on individuals’ current and future intentions to conserve water. A sample of 304 respondents was collected via a self-administered questionnaire containing measures of demographic characteristics, psychological factors, and current and future water conservation behavior. The data were collected online as well as through hard copies. Correlational analysis showed that the three psychosocial factors had significant associations with both current and future intentions to conserve water. Furthermore, the effect size (f2) demonstrated that personal well-being was a significant predictor of current and future water conservation behavior. Stress, however, did not serve as a significant predictor of either current or future water conservation behavior. In contrast, subjective happiness was a significant predictor of only future water conservation behavior.

This paper examines institutional support (financial and marketing support) on export-oriented firms’ performance or so-called born globals. We develop a model to address how financial and marketing support can help young entrepreneurial firms to overcome the liability of newness and smallness in gaining competitive capabilities. Using a quantitative method, data were collected from 217 manufacturers and service sectors in Malaysia, an emerging Southeast Asian market. The results suggest that government assistance in marketing leads to competitive capabilities and export performance; however, financial support neither contributes to competitive capabilities nor export performance. We found the significant role of competitive capabilities as a mediator in enhancing the relationship between marketing support and export performance. Practical implications drawn from this result can be offered as guidelines for the policymakers in supporting young entrepreneurs that lead to competitive capabilities and superior performance.

The present research assesses the influence of globalization and technological innovation on CO2 emissions in South Korea as well as taking into account the role of renewable energy consumption and energy consumption utilizing datasets between 1980 and 2018. The autoregressive distributed lag (ARDL) bounds testing method is utilized to assess long-run cointegration. The outcome of the ARDL bounds test confirmed cointegration among the series. Furthermore, the ARDL reveals that economic growth, energy consumption and globalization trigger environmental degradation while technological innovation improves the quality of the environment. In addition, the study employed the frequency domain causality test to capture causal linkage among the series. The major advantage of this approach is that causal linkage between series can be captured at the short, medium and long term, respectively. The outcomes of the causality test revealed that globalization, technological innovation, economic growth and energy use can predict CO2 emissions in South Korea.

Organizational strategic programs are continuously evolving and gaining the attention of policy makers in order to construct organizations’ ecological and socioeconomic systems. The purpose of this study is to examine the relationship between the balanced scorecard (BSC) and sustainable development involving the mediated effect of political and regulatory influence. To achieve the core objectives of the research, the quantitative (positivism) research method is applied. The goal of the current research is made possible through the quantitative method because of its objective nature of reality. A total of 320 questionnaires were distributed among the different levels of managers; 280 respondents returned the questionnaire. The data are analyzed through a modern statistical tool called Smart-PLS, Partial Least Squares (PLS) is high graphical user interference software that is used to calculate Structural Equation Modeling (SEM) through PLS path modeling. Factor analysis is conducted to eliminate the variables that have no contribution and to reduce the variables to obtain better results in regression. The implications are for energy organizations that are struggling to deal with sustainable development and these tools can help them to achieve their sustainability goals. The study concludes that the adoption of BSC is essential to ensure sustainable development regardless of its challenges. Moreover, consideration of meta-constitutional rules as political influence is important to understand and address in order to mitigate financial loss. In nutshell, the use of BSC is highly recommended to eliminate the routine problems and to ensure environmental sustainability.

The primary objective of this research is to investigate the role of strategic human resource management practices in developing resilient organizational behavior. This research aims to test the mediating function of individual resilient behavior between strategic human resources management practices and resilient organizational behavior. Data was collected from 780 managerial level employees working in small and medium Chinese enterprises in Hubei Province through a self-administrated questionnaire. The Smart partial least square structural equation modeling technique was used for data analysis. The analysis showed a significant positive relationship among SHRM practices, employee resilient behavior, and resilient organizational behavior. Results also show that employee resilient behavior partially mediates the relationship between SHRM practices and resilient organizational behavior. Individual resilient behavior is needed when an organization is in crisis, restructuring, transformation, turbulent, and unfavorable conditions. Without individual resilient behavior, it is difficult for an organization to be resilient. Therefore, strategic human resource management practices are essential to develop an employee’s resilience. This research contributed to the body of knowledge by bringing new concepts together. The main contribution was testing the role of individual resilient behavior between strategic human resource management practices and resilient organizational behavior.

This study assesses the spillover effect of the listed property companies that cover pan-Asian countries, namely Malaysia, Thailand, Indonesia, Singapore, Vietnam, South Korea, Japan, China, the Philippines, and Hong Kong. The impact of market integration will create a spillover effect to the countries’ economic performances, in particular the property market. As macroeconomic factors have high correlation with the performance of property security markets, it is therefore important to study the spillover effect by integrating the macroeconomic factors. This study has employed the exponential generalised autoregressive conditional heteroscedasticity (EGARCH) technique to develop the volatility spillover effect among pan-Asian countries. The results reveal high volatility of listed property companies recorded in Hong Kong and China, while Singapore, The Philippines and Japan have shown low volatility spillovers. In terms of macroeconomic factors, gross domestic product (GDP) and money supply (MS) are the most significant factors in influencing the volatility spillover effect among pan-Asian countries. From the standpoint of regional investors, the volatility spillover characteristics of pan-Asian countries will aid property stakeholders in the region in developing their own methods for making investment decisions in the property security market. Furthermore, in uncertain conditions of the financial market, this study will elevate the transparency of the pan-Asian property portfolio market by providing information on the property market volatility spillovers.

Accounting conservatism (AC) is one of the components of financial reporting, and has been widely studied by academicians to identify its impact on information quality. Scholars in accounting have started to explore how AC is related to different fundamental functional areas of organizations. The interest of the scholars has resulted in an increasing number of publications in this field. In this study, we examined 408 indexed publications related to AC. This work’s objectives include analyzing the regional distribution, size, and evolution of this knowledge base by identifying key authors, documents, and journals while exploring current literature, scholarly structure, and highlighting contemporary trends. The findings of the study concluded that most of the studies are conducted in developed nations contexts. However, there are still areas that need further exploration to obtain more profound insights on the subject. This bibliometric review inspires a new generation of researchers on the topic by giving them an overview of the past studies related to AC.

Debt structure composition is an essential topic of discussion for the management of capital structure decisions. Researchers made extensive efforts to understand the criteria for selecting debts, specifically, to know about the reasons for debt specialization, concealed in identifying its predictors. This question is essential not only for establishing the field of debt structure but also for the financial managers to design corporate financial strategy in a way that leads to attaining an optimal debt structure. Sophisticated financial modeling is applied to identify the core predictors of debt specialization, influencing the strategic choices of optimal debt structure to address this issue. Data were collected from 419 non-financial companies listed at the Karachi Stock Exchange from 2009 to 2015. This study has validated debt specialization by showing that short-term debts maintain their position over the years and remain the most popular type of loan among Pakistani firms. Further, it provides a comprehensive view of the cross-sectional differences among the firms involved in debt specialization by applying a holistic approach. Results show that small, growing, dividend-paying companies, having high expense and risk ratios, followed the debt specialization strategy. This strategy enables firms to reduce their agency conflicts, transaction costs, information asymmetry, risk management and building up their good market reputation. Conclusively, we have identified the gross profit margin, long-term debt to asset ratio, firm size, age, asset tangibility, and long-term industry debt to asset ratio as reliable and core predictors of debt specialization for sustainable business growth.

The aim of this study was to highlight the effect of corporate philanthropy (CP) on consumer patronage behavior. For this purpose, reciprocity was taken as the key mechanism which determines consumers’ willingness to participate in and buy goods or services of a company performing philanthropic activities. The moderating effect of trust and vicarious licensing was also studied. Considering the importance of CP to society and its residents, it is essential to recognize its effect on consumer patronage behavior. To accomplish this objective, data were collected from 340 respondents via a questionnaire. The results of this research revealed that reciprocity shows a statistically significantly positive association with both participation intention (R = 0.729, R2 = 0.531, p = 0.000, b = 0.740) and purchasing intention (R = 0.71, R2 = 0.534, p = 0.000, b = 0.878). Similarly, trust strengthens the relationship of reciprocity with both participation intention (b = 0.250) and purchasing intention (b = 0.310). However, vicarious licensing weakens the relationship of reciprocity with both participation intention (b = −0.175) and purchasing intention (b = −0.187). The mediation effect of participation intention was also examined in this study. The results of this research will contribute to the benefit of society, since philanthropy plays a vital role in society’s progress. The greater response of consumers towards companies performing philanthropic activities justifies the importance of CP.

This study aims to apply value at risk (VaR) and expected shortfall (ES) as time-varying systematic and idiosyncratic risk factors to address the downside risk anomaly of various asset pricing models currently existing in the Pakistan stock exchange. The study analyses the significance of high minus low VaR and ES portfolios as a systematic risk factor in one factor, three-factor, and five-factor asset pricing model. Furthermore, the study introduced the six-factor model, deploying VaR and ES as the idiosyncratic risk factor. The theoretical and empirical alteration of traditional asset pricing models is the study’s contributions. This study reported a strong positive relationship of traditional market beta, value at risk, and expected shortfall. Market beta pertains its superiority in estimating the time-varying stock returns. Furthermore, value at risk and expected shortfall strengthen the effects of traditional beta impact on stock returns, signifying the proposed six-factor asset pricing model. Investment and profitability factors are redundant in conventional asset pricing models.

AbstractInvestors may find it challenging to invest due to economic fluctuations during COVID-19. This study aims to examine the relationship between economic fluctuations and the Indonesian sectoral stock market in the consumer goods sector (CGI), basic industrial and chemical sector (BIC), and miscellaneous industry (MSI), both before and during the COVID-19 pandemic in Indonesia. The monthly time-series data used in the empirical approach cover the period from January 2008 to December 2020. The analysis used forecast error variance decomposition, vector autoregression, impulse response function analysis, and causality investigation. The econometric results showed that previous period shocks in each industrial sector stock market had a disadvantageous effect on future stock market earnings. Additionally, while the CGI stock market positively affects the Rupiah exchange rate, the MSI industrial sector is negatively impacted by inflationary pressures. Also connected to the MSI stock market are fluctuations in inflation. Conversely, the exchange rate affects MSI and CGI. Furthermore, for the CGI and BIC stock markets, a one-way causation relationship is observed. Another notable result was that all three industrial sectors responded positively when inflation and exchange rates were disrupted. It implies that, for convenience, investors will seek out other areas of the stock market. Therefore, a quick government response is needed to handle the economy during economic fluctuations accompanied by the COVID-19 pandemic so that it does not have an impact on the future.