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1 – 10 of 45Carla Ramos, Adriana Bruscato Bortoluzzo and Danny P. Claro
This study aims to capture how the association between a multichannel relational communication strategy (MRCS) and customer performance is contingent upon such customer…
Abstract
Purpose
This study aims to capture how the association between a multichannel relational communication strategy (MRCS) and customer performance is contingent upon such customer performance (low- versus high-performance customers) and to reconcile past contradictory results in this marketing-related topic. To this end, the authors propose and validate the method of quantile regression as an unconventional, yet effective, means to proceed to that reconciliation.
Design/methodology/approach
This study collected data from 4,934 customers of a private pension fund firm and accounted for both firm- and customer-initiated relational communication channels (RCCs) and for customer lifetime value (CLV). This study estimated a generalized linear model and then a quantile regression model was used to account for customer performance heterogeneity.
Findings
This study finds that specific RCCs present different levels of association with performance for low- versus high-performance customers, where outcome customer performance is the dependent variable. For example, the relation between firm-initiated communication (FIC) and performance is stronger for low-CLV customers, whereas the relation between customer-initiated communication (CIC) and performance is increasingly stronger for high-CLV customers but not for low-CLV ones. This study also finds that combining different forms of FIC can result in a negative association with customer performance, especially for low-CLV customers.
Research limitations/implications
The authors tested the conceptual model in one single firm in the specific context of financial services and with cross-sectional data, so there should be caution when extrapolating this study’s findings.
Practical implications
This study offers nuanced and precise managerial insights on recommended resource allocation along with relational communication efforts, showing how managers can benefit from adopting a differentiated-customer performance approach when designing their MRCS.
Originality/value
This study provides an overview of the state of the art of MRCS, proposes a contingency analysis of the relationship between MRCS and performance based on customer performance heterogeneity and suggests the quantile method to perform such analysis and help reconcile past contradictory findings. This study shows how the association between RCCs and CLV varies across the conditional quantiles of the distribution of customer performance. This study also addresses a recent call for a more holistic perspective on the relationships between independent and dependent variables.
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This study aims to examine the effects of audit quality on earnings management and cost of equity capital (COE) considering the impact of two owner types: government ownership and…
Abstract
Purpose
This study aims to examine the effects of audit quality on earnings management and cost of equity capital (COE) considering the impact of two owner types: government ownership and foreign ownership.
Design/methodology/approach
The study uses a panel data set of 236 Vietnamese firms covering the period 2007 to 2017. Because the two main dependent variables of the COE capital and the absolute value of discretionary accruals receive fractional values between zero and one, the paper uses the generalised linear model (GLM) with a logit link and the binomial family in regression analyses. The paper uses numerous audit quality measures, including hiring Big 4 auditors or the industry-leading Big 4 auditor, changing from non-Big 4 auditors to Big 4 auditors or the industry-leading Big 4 auditor, and the length of Big 4 auditor tenure. Big 4 companies include KPMG, Deloitte, EY and PwC, whereas the non-big 4 are the other audit companies.
Findings
The study finds a negative relationship between audit quality and both the COE capital and income-increasing discretionary accruals. The effects of audit quality on discretionary accruals and the COE capital depend on the ownership levels of two important shareholders: the government and foreign investors. Foreign ownership is negatively associated with discretionary accruals; however, the effect is more pronounced in the sub-sample of state-owned enterprises (SOEs), the firms where the government owns 50% or more equity, than in the sub-sample of Non-SOEs.
Originality/value
To the best of the knowledge, no prior similar study exists that used the GLM with a logit link and the binomial family regression. Global investors may be interested in understanding how unique institutional settings and capital markets of each country impact the financial reporting quality and cost of capital. Further, policymakers of developing markets may have incentives to improve the quality of financial reporting and reduce the cost of capital which should result in attracting more foreign investments.
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The purpose of this study is to examine the association between employment status and financial resilience during the COVID-19 pandemic.
Abstract
Purpose
The purpose of this study is to examine the association between employment status and financial resilience during the COVID-19 pandemic.
Design/methodology/approach
This study employed US nationally representative data. A financial resilience index was created based on households' ability to pay for basic living expenses and the resources used to meet such needs. Employment status was categorized into seven groups based on whether the respondent worked for pay in the last seven days, experience of income shock since the start of the pandemic for workers' household and reasons for not working for non-workers' household. A generalized linear model (GLM) model was used to examine the relationship between respondent employment status and household financial resilience. An ordinary least square (OLS) logistic regression with no proportional odds assumption was employed to investigate the association between the respondent's employment status and household ability to pay for basic living expenses. A logistic regression was utilized to explore the relationship between respondent employment status and resources used by the household to pay for basic living expenses.
Findings
The top three least financially resilient households include those in which the respondent's work was affected by the pandemic, the respondent did not work due to being sick with COVID or caring for someone with COVID and the respondent did not work due to fear of COVID.
Research limitations/implications
Future research should distinguish the reasons for not working when examining the association between unemployment and household financial resilience as well as their overall financial wellbeing. Cross-sectional data cannot establish a causal relationship. Findings using US data may not be generalized to other countries.
Practical implications
Workers with health and employment risks and financial professionals working with these clients should consider these risks when building household financial safety net. Policymakers should develop measures to allow normal business operations while effectively contain the spread of the COVID-19 virus.
Originality/value
This study created a financial resilience index that considers various household situations, allows both internal and external resources to be utilized to cover basic living expenses and reflects the diverse nature of financial resilience. This study is the first to look into voluntary and involuntary labor force separation for COVID-19 and non-COVID-19 related reasons.
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Tereza Jandásková, Tomas Hrdlicka, Martin Cupal, Petr Kleparnik, Milada Komosná and Marek Kervitcer
This study aims to provide a framework for assessing the technical condition of a house to determine its market value, including the identification of other price-setting factors…
Abstract
Purpose
This study aims to provide a framework for assessing the technical condition of a house to determine its market value, including the identification of other price-setting factors and their statistical significance. Time on market (TOM) in relation to the technical condition of a house is also addressed.
Design/methodology/approach
The primary database contains 631 houses, and the initial asking price and selling price are examined. All the houses are located in the Brno–venkov district in the Czech Republic. Regression analysis was used to test the influence of price-setting factors. The standard ordinary least squares estimator and the maximum likelihood estimator were used in the frame of generalized linear models.
Findings
Using envelope components of houses separately, such as the façade condition, windows, roof, condition of interior and year of construction, brings better results than using a single factor for the technical condition. TOM was found to be 67 days lower for houses intended for demolition – as compared to new houses – and 18 days lower for houses to refurbishment.
Originality/value
To the best of the authors’ knowledge, this paper is original in the substitution of specific price-setting factors for factors relating to the technical condition of houses as well as in proposing the framework for professionals in the Czech Republic.
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Adrian Testera Fuertes and Liliana Herrera
This paper aims to analyse the influence of workforce diversity on the firm’s likelihood to develop organisational innovations. Operationalising human resources diversity is not…
Abstract
Purpose
This paper aims to analyse the influence of workforce diversity on the firm’s likelihood to develop organisational innovations. Operationalising human resources diversity is not straightforward, and its effect has been rather overlooked in the context of non-technological innovations. This study analyses the impact of task-related diversity among research and development (R&D) unit workers and women R&D workers, in particular.
Design/methodology/approach
To estimate the impact of task-related diversity on firm propensity to undertake organisational innovation, this study uses a generalised linear model (GLM) – with a binomial family and log–log extension. GLMs are used to control problems of over-dispersion, which, in models with binary response variables, could generate inaccurate standard error estimates and provide inconsistent results.
Findings
This paper provides three important results. Firstly, employee diversity increases the firm’s propensity to engage in organisational innovations. Secondly, the influence of each facet of task-related diversity varies depending on the type of organisational innovation considered. Thirdly, gender has an effect on the innovation process; this study shows that women play a different role in the production of non-technological innovations.
Originality/value
This paper makes several contributions to the literature. Firstly, it makes a theoretical contribution to research on innovation management by considering the influence of human resources diversity on the development of non-technological innovations. Secondly, this study analyses the role of workforce diversity in an R&D department context to clarify the contribution made by women R&D workers.
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Elena Barbierato, Danio Berti, Silvia Ranfagni, Luis Hernández-Álvarez and Iacopo Bernetti
The main purpose of this study is to analyze how consumers’ visual attention to wine label design correlates with their preferences. Accordingly, this study uses quantitative…
Abstract
Purpose
The main purpose of this study is to analyze how consumers’ visual attention to wine label design correlates with their preferences. Accordingly, this study uses quantitative eye-tracking metrics to understand which design proposal has greater visual salience. A more specific objective was to assess which design proposal was preferred to be marketed.
Design/methodology/approach
The experiment involved evaluating of three different labeling proposals of an Italian winery. Infrared eye-tracking was used to measure implicit eye movements on the three bottles displayed, simultaneously, on a computer screen. A generalized linear model was used to test how consumers' visual attention to wine label design correlated with their preferences.
Findings
The design proposals were evaluated significantly differently, with one set being preferred. In general, a strong positive relationship was found between pausing to peruse a specific design proposal and making an explicit choice of the same bottle.
Research limitations/implications
The main limitation of the experiment concerns the sample interviewed. As the sample is homogeneous, the results may not be generalizable to other segments. Furthermore, the addition of electroencephalographic devices that monitor brain activity could provide crucial information for understanding consumer behavior during the purchase decision-making process.
Practical implications
Eye-tracking methods could be useful for designers and wine producers during the evaluation process of design projects.
Originality/value
The use of eye-tracking for evaluating design proposals before placing a product on the market is relatively novel. This method provides objective, quantitative and predictive information on consumer preferences contributing guidelines to designers and marketers during the product conception phase.
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This study aims to investigate the impact of terrorism on financial inclusion that is achieved through automated teller machine penetration and bank branch expansion.
Abstract
Purpose
This study aims to investigate the impact of terrorism on financial inclusion that is achieved through automated teller machine penetration and bank branch expansion.
Design/methodology/approach
Eight countries that are the most terrorized countries in the world were analysed using the panel fixed effect regression model and the generalized linear model.
Findings
The results provide evidence that terrorism reduces the level of financial inclusion in countries experiencing terrorism, but the presence of strong legal institutions, accountability governance institutions and political stability governance institutions mitigate the adverse effect of terrorism on financial inclusion.
Originality/value
A growing literature has shown that terrorism affects the economy, yet little is known about its impact on financial inclusion.
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Qian Long Kweh, Irene Wei Kiong Ting, Chunya Ren and Jawad Asif
This study investigates how the initiatives and controversies related to environmental, social and governance (ESG) explain firm efficiency.
Abstract
Purpose
This study investigates how the initiatives and controversies related to environmental, social and governance (ESG) explain firm efficiency.
Design/methodology/approach
Firstly, this study applies data envelopment analysis with the epsilon-based measure to estimate the firm efficiency of 80 companies in the Chinese energy sector in 2022. This approach accounts for the diversity and relative importance of inputs and outputs from a multidimensional perspective. Secondly, this study regresses the variables of ESG initiatives and controversies on the estimated firm efficiency scores through a generalised additive model, which can capture nonlinear patterns.
Findings
This study finds that a) the samples have i) about 49% room for improvement in efficiently optimising their resources and business outcomes and ii) the highest scores in governance initiatives, followed by social initiative. b) 69% of them have controversy scores that are greater than the average value. c) A cluster analysis indicates that companies with higher social initiatives have higher firm efficiency than their counterparts. d) ESG initiatives and controversies are nonlinearly related to firm efficiency.
Research limitations/implications
The findings have practical implications for policy makers and managers who prioritise ESG, particularly regarding (i) the need to examine firm performance from a multidimensional perspective, that is, to measure multiple inputs and outputs simultaneously, (ii) the nonlinearity of the nexus between ESG and efficiency in graphical forms, and (iii) the need to balance ESG initiatives and address ESG controversies.
Originality/value
This study integrates statistical approaches in examining and ensuring sustainable growth and efficiency within the Chinese energy sector and beyond.
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This study aims to examine the effect of gender equality on financial stability and financial inclusion for 14 developing countries using yearly data from 2005 to 2021.
Abstract
Purpose
This study aims to examine the effect of gender equality on financial stability and financial inclusion for 14 developing countries using yearly data from 2005 to 2021.
Design/methodology/approach
The two-stage least squares regression estimation and the generalized linear model regression estimation were used to investigate the effect of gender equality on financial stability and financial inclusion.
Findings
Gender equality has a significant positive effect on financial stability and financial inclusion in developing countries. Gender equality has a significant positive effect on financial stability and financial inclusion in African countries. Gender equality has a significant positive effect on financial stability but not on financial inclusion in non-African countries.
Originality/value
Little attention has been paid to the role of gender equality in promoting financial stability and financial inclusion. The authors address this issue in this study.
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Domenico Marino, Jaime Gil Lafuente and Domenico Tebala
The objective of this paper is to analyze the relationship between innovation and the development of artificial intelligence (AI) and digital technologies in Europe. The use of…
Abstract
Purpose
The objective of this paper is to analyze the relationship between innovation and the development of artificial intelligence (AI) and digital technologies in Europe. The use of digital technologies among European companies is studied through a composite index, while the relationship between innovation and AI is studied through a log-linear regression model. The results of the model have made possible to develop interesting indications for economic and industrial policy.
Design/methodology/approach
The use of digital technologies among European companies is studied through a composite index of AI and information technology (ICT) (using the Fair and Sustainable Welfare methodology) with the aim of measuring territorial gaps and to know which European countries are more or less inclined to its use, while the relationship between innovation and AI is studied through a log-linear regression model.
Findings
In the paper, two different methodologies were used to analyze the relationship between innovation and the development of digital technologies in Europe. The synthetic indicator made possible to develop a taxonomy between the different countries, the log-linear model made possible to identify and explain the determinants of innovation.
Originality/value
The description of the biunivocal relationship between innovation and AI is a topical and relevant issue that is treated in the paper in an original way using a synthetic indicator and a log-linear model.
研究目的
本文旨在探討在歐洲、創新與人工智能和數字技術的發展之間的關係。研究人員透過一個綜合指數、去探討歐洲公司之間數字技術的使用狀況。至於創新與人工智能之間的關係, 則以對數線性回歸模型來進行研究。從模型所得的結果, 為我們提供了建議、去訂定適切的經濟和產業政策。
研究設計/方法/理念
研究人員透過一個人工智能和資訊科技的綜合指數, 去探討歐洲企業之間數字技術的使用狀況 (研究人員使用了公平和可持續福利方法論), 其目標為測量領土差距, 以及確定哪些歐洲國家、大體上傾向於使用數字技術;至於創新與人工智能之間的關係, 則以對數性回歸模型來進行研究。
研究結果
本文使用了兩個不同的方法、去探討在歐洲、創新與數字技術發展之間的關係。有關的合成指標, 使研究人員可製定一個不同國家間的分類法;而有關的對數線性模型, 則讓研究人員可確立並說明創新的決定因素。
研究的原創性/價值
本文使用了合成指標和對數線性模型、去探討創新與人工智能之間的一對一的關係, 這是時下受到關注和適宜的課題;就研究法而言, 本研究確是新穎獨創的。
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