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The purpose of this study is to theorize and measure a consumption criterion of housing affordability and then to compare its predictions with those of a normative criterion over time. The new consumption criterion of housing affordability is quantified with predicted compensatory expenditures that a resident would pay to upgrade to their most preferred home. Its predictions are compared with those of the most popular normative criterion that predicts unaffordability if a resident spends more than a proportion such as 30% of their income on housing.

This study uses census and experimental data for owner-occupiers in two mid-sized Canadian cities between 1987 or 2001 and 2020 or 2021. These data are mapped and statistically analysed for comparing the predictions of the two criteria.

The study’s primary finding is that both criteria predict improved affordability of owned homes over time. Secondarily, however, the consumption criterion predicts worse unaffordability for the minority experiencing this. It furthermore clarifies their budgets for housing as more constraining than their social utilities that they may have already revised toward affordable home attributes. Indisputable unaffordability after the end of the study period may have nullified the originally recommended sacrifices for residents upgrading to their most preferred owned home.

The study is original because it demonstrates that a new consumption criterion of housing affordability subsumes the popular normative criterion if plausible assumptions are made about a homeowner’s choices. It then proceeds to speculate how this new criterion might refine the normative criterion with predicted compensatory expenditures for a resident’s affordable preferred homes.

Preferential market access is a pillar of the enabling clause in international trade, and as such has received scholarly attention in the recent past. This study aims to empirically examine intensity and utilisation of Uganda’s preferential market access.

Secondary data at the six-digit level of the harmonised system was sourced from the International Trade Centre’s and UN COMTRADE’s Trade Map database on trade flows to compute; trade intensity indices, Balsa’s revealed comparative advantage (RCA) indices and the existing potential trade. The time period was 2013–2022.

It is evident that Uganda is not taking full advantage of its preferential market access. The findings of the trade intensity analysis revealed that the strength of trade relations between Uganda and its preferential markets has been consistently weak in the period 2013–2022, while the intensity of trade relations with its FTA partners has been strong. The RCA results revealed that all Uganda’s agricultural exports to its preferential markets have a comparative advantage, with exports of roses reporting an exceptionally high RCA relative to other agricultural exports. The RCA results also show that the comparative advantage of Uganda’s coffee exports recovered after a significant fall in the period 2014–2022. The analysis of the existing potential for trade reveals a disproportionally low market share held by Uganda across all product lines, notably, only 2.3% of the US$29bn coffee imports in its preferential markets.

One limitation of this study is that it primarily relied on quantitative data from the International Trade Centre and thus lacks an exhaustive understanding of the circumstances at the export firm level. Qualitative data, such as interviews with exporters and policymakers, could provide deeper insights into the specific challenges and opportunities faced by Ugandan businesses in these markets.

This paper highlights the need for additional trade facilitation measures to address preferential market access bottlenecks such as stringent rules of origin and call for an aggressive government intervention in enhancing the export readiness of SMEs in Uganda. In addition, the paper is informative to Uganda’s exporters regarding the existing and potential increase in their exports to international markets.

The strength of Uganda’s trade relations with its preferential markets is empirically examined in this paper and provides useful insights for enhancing utilisation of preferential market access by beneficiary countries.

Whenever social injustice tackled by social movements receives heightened media attention, charitable crowdfunding platforms offer an opportunity to proactively advocate for equality by donating money to affected people. This research examines how the Black Lives Matter movement and the associated social protest cycle after the death of George Floyd have influenced donation behavior for campaigns with a personal goal and those with a societal goal supporting the black community.

This paper follows a quantitative research approach by applying a quasi-experimental research design on a GoFundMe dataset. In total, 67,905 campaigns and 1,362,499 individual donations were analyzed.

We uncover a rise in donations for campaigns supporting the black community, which lasts substantially longer for campaigns with a societal than with a personal funding goal. Informed by construal level theory, we attribute this heterogeneity to changes in the level of abstractness of the problems that social movements aim to tackle.

This research advances the knowledge of individual donation behavior in charitable crowdfunding. Our results highlight the important role that charitable crowdfunding campaigns play in promoting social justice and anti-discrimination as part of social protest cycles.

This study aims to examine senior male employees’ perspectives on the glass ceiling in the Nigerian banking sector.

The data were collected qualitatively using interviews with 43 senior male employees in four Nigerian banks.

This study finds that senior male employees acknowledge the challenges their female counterparts face concerning promotion. Senior male employees’ views on the value of gender-diverse leadership underscore the illusion of a “level playing field” because of a gender-neutral performance policy and a family–friendly policy for women. Nonetheless, the study notes a divergence in senior male employees’ perspectives about the professional progression of female employees (based majorly on age and ethnicity). The study concludes that the organisational culture and leadership that underpin poor female career progression are embedded in and driven by the culture in the empirical context.

The examination of senior male employees’ perspectives on the glass ceiling in the Nigerian banking sector offers significant theoretical and practical contributions to the extant literature on gendered occupational segregation by providing unique insights into how patriarchal societal and occupational culture, as well as (limited) family–friendly policies for women, influence the configuration of men’s views of gendered occupational segregation in the Nigerian banking sector.

This study examines the effect of digital financial inclusion (DFI) on climate change in African countries, taking into account the moderating effect of income inequality.

This study employs panel data from 53 African countries between 2004 and 2021 and utilises the random-effects model and two-step generalised method of moments (GMM) to estimate the relationships amongst DFI, income inequality, CO2 emissions and renewable energy consumption (REC).

Our findings reveal that increased accessibility to automated teller machines (ATMs) leads to a reduction in CO2 emissions and an increase in REC. However, the effect of ATMs on CO2 emissions is stronger for individuals with lower incomes, whereas REC is higher for those with higher incomes. Additionally, mobile cellular subscriptions (MCS) increase both CO2 emissions and REC; however, when income inequality is considered, it results in a reduction in CO2 emissions and an increase in REC. Furthermore, Internet usage reduces CO2 emissions and increases REC in Africa, with income inequality levels further improving its contribution.

ATM accessibility and energy efficiency are means to mitigate carbon dioxide emissions and encourage the adoption of renewable energy sources.

This study is one of the first to explore the effects of income inequality on DFI, CO2 emissions and REC, highlighting its importance in Africa and its potential impact on environmental sustainability.

This study aims to systematically review the literature on digital consumers’ decision-making in the banking, financial services and insurance (BFSI) sector and proposes an integrative framework.

By combining databases such as Web of Science and Elton B. Stephens Company (EBSCO), we identified, analyzed and synthesized 53 peer-reviewed empirical articles that explore the connection between digital solutions in the BFSI sector and various phases and constructs of the consumer decision-making process. We examined the dependent variables (DVs) used to operationalize consumer decision-making, performed a thematic analysis of the papers and proposed an integrative framework.

The reviewed articles have garnered more attention from marketing researchers than from BFSI or artificial intelligence scholars, often employing traditional behavioral and experimental methodologies that have several limitations. We identified 38 DVs used to operationalize consumer decision-making, with the most frequently recurring constructs being “Intention to use,” “Utilization,” “Satisfaction,” “Perceived usefulness” and “Trust.” We propose an integrative framework that groups these DVs into three main clusters: subjects’ perceptions, user experience and adoption/usage choice. This systematic literature review highlights the increasing importance of emotion in recent decades and underscores the difficulty of establishing a framework where relationships between variables are direct and unidirectional, as traditional economic theories assume.

To the best of the authors’ knowledge, this is the first study to provide a comprehensive and systematic understanding of the DVs and the research methods used to study the impact of recent digital solutions on consumer decision-making in the BFSI sector. Further, a framework is proposed that can offer a new perspective for consumer research.

This study draws on Organisation Justice Theory and Social Exchange Theory to examine the effects of the performance appraisal process (PAP) on employee commitment (ECO) via a serial mediation of performance appraisal outcome (PAO) and employee reward (ERE).

Survey data were collected from a sample of 363 academics across UK Higher Education Institutions (HEIs), including post-1992 and pre-1992 universities. We tested our hypotheses using partial least squares structural equation modeling (PLS-SEM) with a bias-corrected bootstrapping method.

The findings show that the PAP positively influences ECO and ERE. PAO and ERE mediate the relationship between the PAP and ECO. However, no significant relationship was found between PAO and ECO.

This study has significant implications for HEIs as it underscores the need for managers to ensure the clarity and accuracy of the PAP and to structure rewards to reflect employees’ efforts, considering they affect ECO.

This study contributes to the current debate on performance appraisal by highlighting the extent to which employees’ commitment to an organisation depends on the PAP, PAO and reward.

This study aims to assess financial development and debt status impact on energy efficiency in Nigeria as a developing economy.

This study combined the autoregressive distributed lag (ARDL), fully modified ordinary least squares and canonical cointegration regression analytical methods to estimate the parameters for energy efficiency policy recommendations. Secondary data between 1990 and 2020 were used for the analysis.

The result confirms the long-run nexus between energy efficiency, financial development and total debt stock. Furthermore, the ARDL estimates for this study’s key variables show that financial development promotes energy efficiency in the short run but hinders long-run energy efficiency. Total debt stock limits energy efficiency in Nigeria in short- and long-run periods.

The limitation of this study is that the scope is limited to Nigeria as a developing economy. The need to support energy efficiency projects is a global call requiring cross-country analysis. Despite this study’s focus on Nigeria, it provides useful insights that can guide energy efficiency policy through the financial sector and debt management.

The financial sector must ensure the availability of long-term credit facilities to clean energy investors. The government must maintain a sustainable debt profile to pave the way for capital expenditure on clean energy projects that promote energy efficiency.

The environmental consequences of energy intensity are being felt globally, with the developing countries most vulnerable. The cheapest way to curb these consequences is to promote energy efficiency to reduce the disastrous effect. Driving energy efficiency requires investment in energy-efficient technology but the challenge for developing economies, i.e. Nigeria’s funding, remains challenging amid a blotted debt profile. This becomes crucial to investigate how financial sector development and debt management can accelerate energy-efficient investments in Nigeria.

Drawing on the literature on technological acquisition and the knowledge-based view , this study examines how technological overlap between acquiring and target firms influences acquisition premiums. We further explore how the resulting synergies are contingent on the dynamic characteristics of the target firm, specifically its technology clockspeed and industry munificence. Technology clockspeed indicates the pace of technological evolution, reflecting internal dynamic resources, while industry munificence represents the abundance of external resources. These boundary conditions illustrate the dynamics of synergies, explaining their moderation effects on acquisition premiums.

We analyze a sample of 369 technological acquisitions by publicly traded U.S. firms between 1990 and 2011. To test our hypotheses, we used the ordinary least squares regression model with robust standard errors clustered by acquiring firms. In the robustness checks, we applied the generalized estimating equations to account for non-independent observations in our sample and verified that the results were robust to an alternative two-way clustering approach.

We suggest that a low level of technological overlap between an acquiring firm and its target firm leads the acquiring firm to offer a high acquisition premium because of the expected synergistic potential that evolves from combining two distant technological bases. We further find that this effect is contingent on the target firm's technology clockspeed and industry munificence. Specifically, the negative effect is amplified when target firms exhibit a rapid pace of technological evolution, whereas it is weakened when target firms operate in highly munificent industries characterized by robust growth and abundant resource flows.

This study has several limitations, but it offers opportunities for future research. First, our sample is limited to domestic acquisitions between U.S. publicly traded firms, which may restrict generalizability. Cross-border acquisitions could reveal different dynamics, as technology leakage and national security concerns might make technological overlap a more sensitive factor. Additionally, private firms were not included, and their distinct strategic considerations could provide further insights. Future research could explore post-acquisition data to validate these synergies and expand the scope to include international contexts and private firms for a comprehensive analysis.

Our findings highlight important implications for managers in technology sector acquisitions. This study underscores the need for a thorough evaluation of target firms to avoid misjudging synergies. Low technological overlap can heighten expectations for value creation, making it crucial for executives to accurately assess potential synergies to prevent overestimation. Managers should consider both internal resources and external industry conditions when evaluating synergies. Ultimately, these insights help managers offer informed prices that reflect true strategic synergies, adopting effective valuation practices to mitigate risks of financial overpayments and poor post-merger performance.

The social implications of our findings emphasize the broader impact of acquisition decisions on innovation and competition within the technology sector. By ensuring accurate valuation and avoiding overpayment, companies can allocate resources more efficiently, fostering sustainable growth and innovation. This diligent approach can reduce the risk of corporate failures.

This study makes two key theoretical contributions. First, it identifies technological overlap as a critical determinant of acquisition premiums in technological acquisitions, addressing gaps in the literature that focused on CEO characteristics and managerial attention. Second, it expands the theoretical framework by highlighting the dynamic nature of synergies, influenced by the target firm's technology clockspeed and industry munificence. By integrating both acquiring and target firm characteristics, this study provides a relational perspective on value creation, explaining why firms pay high premiums and offering a more comprehensive understanding of the strategic motivations in technological acquisitions.

Credible influencers play a key role in shaping the views and preferences of social media users. However, many influencers intentionally use disinformation (e.g. false narratives) to deceive users and gain their trust. This can have serious repercussions, not only for the firms that associate with these influencers but also for users. Further, and alarmingly, many influencers who use disinformation can sustain their credibility over time. This research explores how influencers use disinformation to establish long-term credibility on social media.

Drawing on self-presentation theory, we use an in-depth qualitative case study to address our research question, primarily relying on archival data obtained from multiple sources.

Our findings suggest that three stages of self-presentation are required to establish influencer credibility based on disinformation: backstage (preparing to deceive), experimentation (testing deception), and frontstage (launching deceptive ideas on a large scale). We also find that when fraudulent influencers simultaneously weaponise a counterculture and mindfully encase disinformation, users view them as highly credible.

We offer practical suggestions for regulating fraudulent influencers, including enacting fact-checking procedures, using IT artefacts as reliability signals, and building awareness programmes to develop vigilance in social media communities.

We contribute to self-presentation theory by adding experimentation as a critical stage in developing disinformation that works for long periods. We also contribute to the literature at the intersection of social media influencers and disinformation research by revealing why social media users believe in fraudulent influencers.