scholarly journals How bank capital structure decision-making change in recessions: Covid-19 evidence from Pakistan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khalil Ullah Mohammad
Keyword(s):  
Decision Making ◽  
Monetary Policy ◽  
Capital Structure ◽  
Bank Capital ◽  
Data Set ◽  
Content Type ◽  
Effect Estimation ◽  
General Method Of Moments ◽  
The Impact

PurposeThis study contributes to existing literature by investigating bank capital structure dynamics during the Covid-19 pandemic. The role of contemporary bank-specific determinants of capital structure during this period is analyzed.Design/methodology/approachAn independent t-test is carried out to check the response of bank leverage to the crisis. Using fixed effect estimation and difference general method of moments (GMM), the impact of the shock is examined. An unbalanced quarterly data set from 2016q1 to 2020q3 of all commercial banks in Pakistan is used.FindingsThe study finds that due to procyclicality of capital, during the Covid-19 crisis, the banks preempted a fall in capital and improved their capital positions. The role of bank specific variables in determining capital structure like profitability, size and competition weakened during this period. Evidence suggests that policy rate intervention by the central bank was a significant factor in capital structure decisions during the Covid-19 period. The study finds that macroeconomic shocks have significant impact on capital structure decision-making of banks which goes beyond the bank-specific factors.Originality/valueIt finds evidence of a moderating role of monetary policy in capital structure decision-making which has not been previously highlighted in literature. Monetary policy is found to become an important factor deciding the capital structure of banks during the Covid-19 first 3 quarters. This study also explores the impact of Covid-19 on the bank-specific determinants of capital structure of banks.

Cognitive biases and decision-making strategies in times of change: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiara Acciarini ◽  
Federica Brunetta ◽  
Paolo Boccardelli
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Cognitive Biases ◽  
Future Research ◽  
Strategic Decisions ◽  
Data Set ◽  
Content Type ◽  
The Impact

PurposeIn a work environment marked by unprecedented complexity, volatility and ambiguity, managers must accomplish their objectives while navigating many challenges. This paper aims to investigate potential interrelations among environmental transformations, cognitive biases and strategic decisions. In particular, the purpose of the study is to crystallize the state of art on the impact of cognitive biases on strategic decisions, in the context of environmental transformations.Design/methodology/approachThe authors have conducted a systematic literature review to identify existing relevant work on this topic and to detect potential avenues for future research.FindingsThe findings highlight how decision-making is influenced and enabled by internal (e.g. perception) and external factors (e.g. digitalization). Specifically, the strategic role of cognitive biases appears to be crucial when investigating the related impact on strategic decisions in times of environmental transformation.Practical implicationsImplications are drawn for scholars and practitioners interested in evaluating the role of specific decision-making determinants for the formation and implementation of strategic decisions. In this sense, we stress that decision-makers need to manage their cognitive biases and select the right information out of a wide data set in order to adapt to environmental transformations.Originality/valueBy systematizing the literature review, potential interrelations among environmental transformations, cognitive biases and strategic decisions are identified. Furthermore, the primary phases that drive the decision-making process are proposed (analysis, decision, onboarding and control).

scholarly journals Credit composition and income inequality in Vietnam: an empirical analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Quoc Hoi ◽  
Hương Lan Trần
Keyword(s):  
Income Inequality ◽  
Educational Level ◽  
Generalized Method Of Moments ◽  
Institutional Quality ◽  
Primary Data ◽  
Data Set ◽  
Content Type ◽  
Private Credit ◽  
The Impact

PurposeThis paper aims to examine the credit composition and income inequality reduction in Vietnam. In particular, the authors focus on the distinction between policy and commercial credits and investigate whether these two types of credit had adverse effects on income inequality. The authors also examine whether the impact of policy credit on income inequality is conditioned by the educational level and institutional quality.Design/methodology/approachThe authors use the primary data set, which contains a panel of 60 provinces collected from the General Statistics Office of Vietnam from 2002 to 2016. The authors employ the generalized method of moments to solve the endogenous problem.FindingsThe authors show that while commercial credit increases income inequality, policy credit contributes to reducing income inequality in Vietnam. In addition, we provide evidence that the institutional quality and educational level condition the impact of policy credit on income inequality. Based on the findings, the paper implies that it was not the size of the private credit but its composition that mattered in reducing income inequality, due to the asymmetric effects of different types of credit.Originality/valueThis is the first study that examines the links between the two components of credit and income inequality as well as constraints of the links. The authors argue that analyzing the separate effects of commercial and policy credits is more important for explaining the role of credit in income inequality than the size of total credit.

R&D volatility and market value: the role of executive overconfidence

2019 ◽  
Vol 14 (2) ◽  
pp. 411-431
Author(s):  
Benlu Hai ◽  
Qingzhu Gao ◽  
Ximing Yin ◽  
Jin Chen
Keyword(s):  
Business Performance ◽  
Positive Impact ◽  
Market Value ◽  
Data Set ◽  
Content Type ◽  
Dynamic Perspective ◽  
Innovation Strategies ◽  
The Impact ◽  
The Relationship

Purpose Significant increase or decrease in research and development (R&D) expenditure may have an immense impact on market value. Based on the punctuated equilibrium theory, this paper aims to empirically analyze the impact of R&D volatilities on market value and the moderating effect of executive overconfidence. Design/methodology/approach The study uses the panel data set that covers 902 Shanghai and Shenzhen A-share manufacturing listed firms and multiple regression method to test the theoretical hypotheses. Findings The results show that both positive and negative R&D volatilities have a robust and significant positive impact on the market value. Further analysis shows that the executive overconfidence positively moderates the relationship between R&D volatilities and market value. Research limitations/implications In a rapidly changing and highly competitive environment, firms should recognize that the balance of innovation strategies will help to bring higher market value. Furthermore, firms could improve corporate governance to make the best of managerial characteristics, such as overconfidence, on the innovation decision-making process. Originality/value By pushing the static perspective to a dynamic perspective and empirically documenting the role of executive overconfidence, this study contributes to the literature on the relationship between R&D expenditure and market value, generating theoretical and practical insights for firms to improve innovation governance and innovation strategies to achieve better business performance.

Investigating sponsor decision-making: the role of schema theory, agency conflicts, and signaling theory in the persistence of naming rights agreements

2020 ◽  
Vol 21 (3) ◽  
pp. 467-486 ◽  
Author(s):  
Jonathan A. Jensen ◽  
David Head ◽  
Christopher Mergy
Keyword(s):  
Decision Making ◽  
Schema Theory ◽  
Agency Conflicts ◽  
Data Set ◽  
Content Type ◽  
Naming Rights ◽  
High Level ◽  
Sport Facilities

PurposeNaming rights sponsorships of sport facilities are among the most highly visible marketing agreements in the world. However, factors that may lead one sponsorship to persist for decades, while others end after just a few years, have yet to be investigated. Thus, this study examines the decision-making of brand marketers by investigating the predictors of a sponsoring brand's decision to either continue or dissolve such agreements.Design/methodology/approachUtilizing a global data set of 219 naming rights agreements, an empirical approach is utilized to isolate whether a variety of factors increase or decrease the probability of sponsorship dissolution.FindingsResults indicate that agreements entered into with new, as of yet-unnamed facilities lead to a reduction in the probability of dissolution, with a high level of brand equity also reducing the probability of dissolution. Agency conflicts may also play a role, as the sponsoring firm being headquartered in the same metropolitan area as the facility also contributes to the persistence of such agreements.Originality/valueThese results are intended to assist both sides of what is ideally a long-term relationship in better understanding the factors that may either contribute to or inhibit longer-term partnerships.

Media discourse in a hyper connected society: a comparison between media frame and Twitter discourse during media strike

Info ◽  
2014 ◽  
Vol 16 (2) ◽  
pp. 67-79 ◽  
Author(s):  
Seong Eun Cho ◽  
Dong-Hee Shin
Keyword(s):  
New Media ◽  
News Media ◽  
Social Issues ◽  
Semantic Network ◽  
News Frames ◽  
Data Set ◽  
Media Environment ◽  
Content Type ◽  
The Impact

Purpose – This study aims to examine the impact of news frames associated with traditional media and with Twitter discourse on social issues. Design/methodology/approach – Using semantic network analysis, it identifies the role of new alternative channels as well as discussing ways of understanding and consuming news content in the changing media environment. Additionally, it focuses on the dominant Twitter communicators who rank high in betweenness centrality. Findings – The results confirmed that traditional news media tend to superficially describe main events and media strikes without comment. They tended to consciously or unconsciously favor media corporations by engendering anxiety and conflict or by restraining reports on the rationales of the strike. Twitter discourse, on the contrary, positively represents the striker's arguments and frequently reveals support of the strike. Research limitations/implications – The data set of this study was specialized, not generalized. However, the findings extend literature relating to the role of journalism and alternative channel. For example, this study indicated that the change of media environment has reinforced partiality of news, including both traditional and alternative channels. Practical implications – The findings imply that the advent of new media does not purely represent a laymen's voice and rather tends to strengthen the partiality of media, including both traditional and new media, beyond selective exposure on content of the receiver. Originality/value – By clarifying the influence of alternative channels, this study suggests the counterpart of traditional journalism in the near future.

scholarly journals The role of corporate governance on CSR disclosure and firm performance in a voluntary environment

2019 ◽  
Vol 20 (2) ◽  
pp. 294-306 ◽  
Author(s):  
Aruoriwo Marian Chijoke-Mgbame ◽  
Chijoke Oscar Mgbame ◽  
Simisola Akintoye ◽  
Paschal Ohalehi
Keyword(s):  
Corporate Governance ◽  
Firm Performance ◽  
Developed Countries ◽  
Economic Benefits ◽  
Data Set ◽  
Content Type ◽  
Csr Disclosure ◽  
The Impact ◽  
Moderating Role

Purpose This study aims to investigate the impact of corporate social responsibility disclosure (CSRD) on firm performance and the moderating role of corporate governance on the CSRD–firm performance relationship of listed companies in Nigeria. Design/methodology/approach The paper uses a panel data set comprising 841 firm-year observations for the period covering 2007-2016. Fixed effect regression analysis was used to examine the relationship between CSRD and firm performance, and the moderating role of corporate governance in the CSRD–firm performance relationship. Findings The results of the study show that there are positive performance implications for firms that engage in CSRD. Although this study finds no effect of board size on the CSRD–firm performance relationship, it provides a strong evidence of a positive effect of board independence on the CSR–firm performance relationship. Practical implications The study contributes to the understanding of CSRD–firm performance relationship by providing evidence of the moderating role of corporate governance. It is, therefore, recommended that a stronger regulation be put in place for CSR engagement and the disclosure of same in Nigeria as well as robust measures for the enforcement of corporate governance mechanisms because there are economic benefits to be derived. Originality/value The findings contribute to the literature by providing up-to-date and original insights on the CSRD–firm performance relationship within a developing country context. It also uses an uncommon method of measuring CSRD, taking into account the institutional biases that may arise from other methods used in studies on developed countries.

Do foreign banks in India respond to global monetary policy shocks? A SVAR analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ameen Omar Shareef ◽  
K.P. Prabheesh
Keyword(s):  
Monetary Policy ◽  
Bank Lending ◽  
Foreign Bank ◽  
Foreign Banks ◽  
Monetary Policy Shocks ◽  
Content Type ◽  
Indian Economy ◽  
Policy Shocks ◽  
The Impact

Purpose This paper aims to examine the role of foreign banks in transmitting global monetary policy shocks to India. Further, the authors try to explore the international bank lending channel and analyze the impact of global monetary policy on Indian macroeconomic variables. Design/methodology/approach The authors use a structural break unit root test and structural vector autoregression on monthly data from 1998 to 2018. Findings The study finds that the global monetary policy is significantly determining foreign banks’ lending in India; the evidence of a portfolio re-balancing channel in the process of global monetary policy transmission to the Indian economy; the exchange rate is significantly explaining the foreign bank credit dynamism in India; and evidence of international monetary policy spillover to the Indian economy. Originality/value This is the first attempt to analyze the role of foreign banks in the transmission of global monetary policy shocks to India, where the literature availability is limited. The finding of ineffective domestic monetary policy on foreign bank lending opens the need for an in-depth and diversified analysis of the role of foreign banks in the transmission of domestic monetary policy.

Effectiveness and channels of macroprudential policies: lessons from the Euro area

2017 ◽  
Vol 25 (3) ◽  
pp. 271-306 ◽  
Author(s):  
Yuanyan Zhang ◽  
Thierry Tressel
Keyword(s):  
Monetary Policy ◽  
Euro Area ◽  
Global Financial Crisis ◽  
Bank Lending ◽  
Panel Var ◽  
Bank Capital ◽  
Credit Growth ◽  
Content Type ◽  
Macroprudential Policies ◽  
The Impact

Purpose The design of a macro-prudential framework and its interaction with monetary policy has been at the forefront of the policy agenda since the global financial crisis. However, most advanced economies (AEs) have little experience using macroprudential policies. As a result, relatively little is known empirically about macroprudential instruments’ effectiveness in mitigating systemic risks in these countries, about their channels of transmission, and about how these instruments would interact with monetary policy. This paper aims to fill in the gap. Design/methodology/approach The authors develop a new approach using the euro area bank lending survey to assess the effectiveness of macro-prudential policies in containing credit growth and house price appreciation in mortgage markets. Estimation is performed under the panel regressions (OLS, GLS) and panel VAR setup. Endogeneity issues arising from measures of macro-prudential policies are addressed by introducing GMM estimation and various instruments. Findings The authors find instruments targeting the cost of bank capital most effective in slowing down mortgage credit growth, and that the impact is transmitted mainly through price margins, the same banking channel as monetary policy. Limits on loan-to-value ratios are also effective, especially when monetary policy is excessively loose. Originality/value With limited data on macroprudential policy measures in the AEs, this paper proposed a new methodology of using answers from bank lending survey as proxies to assess the effectiveness of specific macroprudential measures and their transmission channels.

The influencing role of social media in the consumer’s hotel decision-making process

2019 ◽  
Vol 11 (4) ◽  
pp. 378-391 ◽  
Author(s):  
Vikas Gupta
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Information Search ◽  
Decision Making Process ◽  
Content Type ◽  
Social Media Platform ◽  
The Social ◽  
Media Platform ◽  
The Impact

Purpose This study aims to evaluate the role of social media on the hotel decision-making process of consumers during the evaluation stage of searching, identifying the alternatives and selecting a hotel in India. It will help the stakeholders in the hotel industry of India to make the social media platform more efficient for consumers by providing inputs on the factors consumers consider while making online hotel purchase. Design/methodology/approach This study involves an exploratory qualitative approach which includes 32 face-to-face, semi-structured, in-depth individual interviews with the social media platform users. The selection of interviewees for this study has been done on the basis of a non-random purposive sampling approach. Findings The findings reveal that social media plays an important role in affecting the way consumers search, decide and book hotels. It also suggests that social media helps consumers in collecting information about products and services, assessing alternatives and making their choices. It confirms that while negative facets exist, the positive benefits outweigh the negative aspects of using social media when selecting a hotel. The results also reveal the impact of circumstantial influence related to social media on hotel selection, on the basis of content source and the level of trust and accuracy in the content. Practical implications This study has some strategic implications for hospitality marketing and management related to a better understanding of the influence of social media on the hotel customer decision-making process. The study shows that a variety of social media with associated content sources and levels add to the complexity of hotel-related information search and decision behaviour. Originality/value The study makes a contribution by addressing the existing gaps and bridging the arena of consumer behaviour and social media literature in a hotel context and sheds light on how consumer decisions while selecting a hotel are influenced through social media. The core contribution is the generation of factors through in-depth interviews which are based on real-life scenarios relating to the influence of social media on hotel decision-making.

The role of blockchain in reducing the impact of barriers to humanitarian supply chain management

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Ihsan Ozdemir ◽  
Ismail Erol ◽  
Ilker Murat Ar ◽  
Iskender Peker ◽  
Ali Asgary ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Decision Aid ◽  
Decision Makers ◽  
Chain Management ◽  
Content Type ◽  
Humanitarian Supply Chain ◽  
The Impact

PurposeThe objective of this study is to investigate the role of blockchain in reducing the impact of barriers to humanitarian supply chain management (HSCM) using a list of blockchain benefits.Design/methodology/approachA decision aid was used to explore the suitability of blockchain in humanitarian supply chains. To achieve that, first, a list of barriers to HSCM was identified. Then, the intuitionistic fuzzy decision-making trial and evaluation laboratory (IF–DEMATEL) method was utilized to determine the relationships and the level of interdependencies among the criteria. Finally, the intuitionistic fuzzyanalytic network process (IF–ANP) technique was employed, as it successfully handles dependencies among the criteria.FindingsThe findings of this study suggest that interorganizational barriers are the most suitable ones, the impacts of which blockchain may alleviate. This study further suggests that trust turned out to be the most significant benefit criterion for the analysis.Research limitations/implicationsThe readers should construe the findings of this study with caution since it was carried out using the data collected from the experts of a particular country. Moreover, the proposed decision aid contemplates a limited set of criteria to assess a possible role of blockchain in overcoming the barriers to HSCM.Practical implicationsThe findings of this study can assist humanitarian supply chain managers to make more judicious assessments on whether they implement the blockchain in humanitarian supply chain operations. Specifically, this research may help decision makers to identify the certain barriers, the impact of which may be reduced by using the blockchain. The findings of this research will also help various decision makers make more rational decisions and allocate their resources more effectively.Originality/valueTo the best of authors’ knowledge, no single study exists to investigate the role of blockchain in reducing the impact of barriers to HSCM using an intuitionistic fuzzy multi-criteria decision-making approach.

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