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This paper aims to investigate the effect of the COVID-19 pandemic market shock on house pricing, time-on-market (TOM) and probability-of-sale functions using local multiple listing service data from Richmond, Virginia, USA.

The empirical analyses use a two-stage residual inclusion model to simultaneously address endogeneity and nonlinearity in modeling sales price and TOM, and a Heckman two-stage procedure to account for sample selection bias in estimating the probability-of-sale.

The pandemic shock not only directly impacted average home prices, TOM and probability-of-sale, but it also caused the coefficients of some of the factors that influence these metrics to change while others were stable to the exogenous shock of the pandemic. The authors find that coefficients in the hedonic pricing, TOM and probability-of-sale models did not shift instantaneously; instead, the impact evolved over several months at the beginning of the pandemic until stabilization.

The results should be of interest to buyers and sellers of residential properties, agents specializing in residential properties and researchers looking to better capture the impact of exogenous events on housing prices and buyer preferences.

This paper assesses the lending risks associated with the level of total household indebtedness at the local authority level across the UK.

Using GIS-based Exploratory Data Analysis and mapping, the paper identifies local concentrations of household borrowing, both secured and unsecured, which is referenced against regional Gross Added Value.

Significant local differences are revealed which are tracked over the period 2013–2019. Total debt relative to the size of economy is larger in London and local authorities around London. A positive correlation was revealed between areas of multiple deprivation in England and those local authorities with proportionally high unsecured lending, confirming that the less well-off require access to debt facilities and in the absence of availability of secured loans, resort to unsecured borrowing.

Understanding where the additional lending risks are located across the UK is relevant when evaluating the robustness of the economy to recession, with its uneven effects on different sectors and households and the impact of monetary policy changes, particularly sharp rises in interest rates. The mapping of these risks is illuminating and aids understanding.

We examined who is more likely to use flexible work arrangements (FWAs) to alleviate work-family conflict (WFC) and under what conditions the use of FWAs actually reduces WFC.

We tested the model using survey data collected at two time points from 217 employees.

Proactive employees are more likely to use flextime to alleviate WFC (b = −0.03; 95% biased-corrected CI: [−0.12, −0.01]) and this mediation relationship is not moderated by their level of low work-to-nonwork boundary permeability. In addition, only when proactive employees have a low work-to-nonwork boundary permeability does their use of flexplace alleviate WFC (b = −0.07, 95% bias-corrected CI: [−0.1613, −0.0093]).

We expand our understanding of who is more likely to utilize FWAs by identifying that employees with proactive personality are more likely to use flextime and flexplace. We also advance our understanding regarding the conditions whereby FWA use helps employees reduce WFC by identifying the moderating role of work-to-nonwork boundary permeability on the relationships between both flextime and flexplace use on WFC.

Early childhood education and care (ECEC) in England is provided to children from birth to the age of five. Nursery provision is delivered as a mixed market economy partly financed by the government, with the remainder paid by stakeholders and/or families. Political changes over the past 20 years have resulted in significant shifts in the levels of support given to nursery provision and to children and their families, and the universal support that was once provided has become fragmented. COVID-19 lockdowns and global factors have brought a number of key challenges to the surface including financial sustainability for nursery provision and beyond, the development of young children's emotional and communication skills, children's ability to socialise and play, and how to support the families who are experiencing the most financial and social need. This is set against a backdrop of Portsmouth, a city of contrasts with both affluent and low socioeconomic status areas and diverse family needs. This chapter explores steps taken by two charity and voluntary organisations to support young children and their families and the ways in which these organisations take a socially innovative approach when working with very young children. The chapter reports on how these organisations provide approaches that bridge the gaps left by state retrenchment and shows how these local innovations can support young children to develop, learn and thrive, complementing existing nursery provision.

This paper aims to explore consumer perceptions of product design awards (PDAs) and their impact on consumer product evaluation and attitude formation about the award-winning product, the award-winning organization and the award-granting organization.

Based on the grounded theory approach, an exploratory qualitative study is conducted, using 16 semi-structured in-depth interviews with Turkish consumers through discussions on real-world examples.

Results show that consumers develop emotional responses to PDAs (e.g. interest, curiosity and confusion), hypothesize reasons for products receiving awards and cite rewards as confirmation of their existing judgments about products. PDAs are perceived as extrinsic cues signaling quality and price, and their impact is increased when consumers feel that the award is based on functional feature superiority. Consumer responses to PDAs are also influenced by the perceived expertise of the award-granting organization and beliefs about the award-granting process. Finally, PDAs can lead to positive brand-perception outcomes, influencing consumer perceptions of the product company as resourceful, competent and prominent.

This study shows that it is critical for companies to inform consumers about the specific features that resulted in a given product receiving a design award, as well as to provide information about the PDA itself.

To the best of the authors’ knowledge, this study is the first attempt to explore consumer perceptions of and reactions to PDAs, with significant implications for both the marketing managers of PDA-winning products and award-granting organizations.

The purpose of this study is to predict the probability and duration of “Buying Intention Survival” (BIS) and to propose a conceptual framework illustrating its determinants. More specifically, it aims to determine the likelihood of buying intention abandonment (BIA) and the time frame in which the intention abandonment might occur.

The data for this study were collected using an online survey of a sample of 573 Tunisian consumers. The data were then subjected to a survival analysis. This method is used for the first time in this context.

Results show that the average duration of the BIS could extend over 162 months. Findings also suggest that involvement, anticipated regret linked to a no-purchase decision and social influence have a positive effect on BIS, whereas anticipated regret linked to purchase influences BIS negatively.

Accurately anticipating the date of BIA is of paramount importance for marketers as it allows them to implement strategies that reduce the risk of abandonment and encourage customers to promptly fulfill their purchasing intentions.

This paper introduces a new concept, namely, BIS, and applies a survival analysis method to determine whether purchase intention disappears over time, how soon it may disappear, and possible reasons this may occur.

We examine whether the social capital of the area where a firm’s headquarters is located affects that firm’s credit rating. Given that credit rating agencies only infrequently visit a firm’s headquarters, it is pertinent to investigate whether this soft information is considered.

In order to test whether social capital affects firms’ credit ratings, we estimate the following model using an ordinary least squares regression: Rating_it = β₀ + β₁ Social Capital_it + ∑ Controls_it + Industry fixed Effects_i + State−year fixed effects_it + ε_it. We follow recent accounting and finance research and measure societal-level social capital at the county level (Jha & Chen, 2015; Cheng et al., 2017; Hasan et al., 2017a, b; Jha, 2017; Hossain et al., 2023). We use four inputs to calculate social capital: (1) voter turnout in presidential elections, (2) the census response rate, (3) the number of social and civic associations and (4) the number of nongovernmental organizations in each county.

W provide evidence that social capital has a causal effect on credit ratings. Interesting is that this effect is not merely localized to firms near credit rating agencies. We also find that the effect of social capital on credit ratings is concentrated among firms with moderate levels of default risk. For firms with extremely low or extremely high default risk, social capital appears irrelevant to credit ratings, suggesting that social capital plays a larger role in more ambiguous contexts or when greater judgment is required. We demonstrate that the effect of social capital on credit ratings disappears when the rating agency has extensive experience in a particular region. This result is consistent with rating agencies stereotyping certain regions of the USA and using that information to inform their ratings when they have less experience in the region. Finally, we find that while social capital is associated with credit ratings, it has no association with future defaults.

Though we cautiously followed prior studies and were confident in our data construction process, it is possible that we are measuring social capital with error.

Our findings suggest that credit rating agencies could benefit from reevaluating how they incorporate non-financial information, such as social capital, into their assessment processes, potentially leading to more nuanced and equitable credit ratings. Additionally, firms could use these insights to bolster their engagement with local communities and stakeholders, thereby enhancing their creditworthiness and attractiveness to investors as part of a broader corporate strategy. The findings also underline the need for regulatory frameworks that foster transparency and the inclusion of social factors in credit evaluations, which could lead to more comprehensive and fair financial reporting and rating systems.

Recognizing that social capital can influence economic outcomes like credit ratings may encourage both communities and firms to invest more in building and maintaining social networks, trust and civic engagement. By demonstrating how social capital impacts credit ratings, our research highlights the potential to address inequalities faced by regions with lower social capital, guiding targeted social and economic development initiatives. Moreover, understanding that regional social capital can influence credit ratings might affect public perception and trust in the impartiality and accuracy of these ratings, which is essential for maintaining market stability and integrity.

Our research provides fresh insights into how social capital, an intangible asset, influences credit ratings – a topic not extensively explored in existing literature. This sheds light on the dynamics between social structures and financial outcomes. Methodologically, our use of the 9/11 attacks as an exogenous shock to measure changes in social capital introduces a novel approach to study similar phenomena. Additionally, our findings contrast with prior studies such as Jha and Chen (2015) and Hossain et al. (2023), by delving deeper into how proximity and familiarity impact financial assessments differently, enriching academic discourse and refining existing theories on the role of local knowledge in financial decisions.

This study aims to examine the antecedents of purchase intention toward energy efficient air conditioners by incorporating the theory of planned behavior (TPB) with two additional constructs, i.e. environmental concern and personal norms. TPB is one of the most widely used theoretical framework to study consumer behavior.

The study applied a quantitative technique using a survey method by distributing self-administered questionnaires among the Indian households who have purchased energy efficient air conditioners in the past six months or had enquired to do so. The study collected data from three select regions: Delhi and NCR, Punjab and Tri-city. The collected data of 424 respondents have been analyzed using confirmatory factor analysis and structural equation modeling.

The study posits that normative factors such as subjective norms and personal norms have a relatively higher influence on purchase intention. Despite the significant existence of environmental concern, the study did not find environmental concern directly influencing purchase intention.

The sample size of the study is too small and pertains to specific regions. Thus, it could hinder the generalizability of the results. Advertisement appeals should be related with enhancement of self-esteem in terms of making responsible and valuable contribution to environment protection through the purchase of energy efficient air conditioner.

There are a few studies in the Indian context studying consumer’s purchase intention toward energy efficient air conditioners to which this study adds. The study provides an important contribution to marketers in developing strategies for increasing purchase intention toward energy efficient air conditioners in view of their stage in the product life cycle, diffusion of product and influence of normative factors.