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Brands increasingly coappear in television programs while research in product placement has primarily focused on the placements of a single brand. Building on research related to product placement and cobranding, this study aims to systematically examine the roles of product competitiveness and brand competitiveness on the effectiveness of brand coappearance on television programs.

Extensive pretesting and four experimental studies were conducted. Real stimuli that had been digitally manipulated with fictitious brands were used in Study 1 (laboratory experiment involved student samples) and Study 2 (online experiment with a national sample) to examine the short- and long-term impacts of product competitiveness on brand coappearance. Real stimuli incorporated actual brands were used in Study 3 (involved advertisers’ key demographic) and Study 4 (alterative television program with a national sample) to examine the impacts of brand competitiveness and its interaction effect with product competitiveness.

The study found that coappearing with a product of high competitiveness significantly enhanced attitudes and purchase intention toward the coappearing products both in the short and long term. Product competitiveness further interacts with brand competitiveness to influence attitudes and purchase intention toward the coappearing brands suggesting a coopetition pattern for brand coappearances. The effect of brand coappearances did not vary substantially for low or high involvement products with or without character interaction.

The study develops a useful framework for explaining and understanding the potential spillover effects in brand coappearances. It contributes to the existing literature on product placement and cobranding, while also paving the way for future research opportunities.

When introducing new brands, marketers are advised to consider coappearance deals with more competitive brands in highly competitive product categories. Conversely, coappearance deals with less competitive brands in less competitive product categories should be adopted to promote well-known brands. Advertisers may also consider product or brand exclusivity arrangements with broadcasters to enhance the effectiveness of the product placement.

Although brand coappearance in media content is likely to continue to proliferate, little is known about the phenomenon and its effects. To the best of the authors’ knowledge, this research is the first to systematically examine the perceptions toward brands coappeared in television programs.

This paper aims to examine the impact of ownership structure on the accounting-based performance of listed Nigerian deposit money banks (DMBs) on Nigerian Exchange Group (NGX) from 2011 to 2020.

The study adopts ex post facto research design, using initially “the panel fixed and random effects regression analysis and Hausman specification test and thereafter, the IV Generalised method of moments (GMM) to check for endogeneity issues and strengthen the robustness of the results.

The one lagged value result reveals that ownership structure of DMBs in Nigeria has cumulative significant impact to influence corporate financial performance of the banks in the future. Overall, CEO, board/managerial, family, government and foreign ownership structures in DMBs in Nigeria do not have significant influence on accounting-based corporate financial performance of the banks. However, the study reveals that board/managerial ownership could significantly improve market value/growth of DMBs in Nigeria.

Policy makers, investors (both local and foreign), academics, corporate governance administrators, and the government could apply the study's findings to the management of banking operations in Nigeria.

The paper highlights the impact of five ownership structures on the accounting-based performance of DMBs in Nigeria from 2011 to 2020, providing valuable insights into the influence of stockholding categories on corporate financial performance, which is a shift from extant literatures with limited insights.

This paper explores and analyses the major challenges faced by both customer-facing and office-based public transport employees during the early stages of the Covid-19 pandemic and the responses of their employers to their concerns.

Qualitative semi-structured interviews and focus groups were carried out, involving 39 employees and directors representing a wide range of professionals working in the transport sector in three European countries, Poland, Ireland and the UK. Data were analysed through thematic analysis and the emerging issues explored.

Major employee challenges included: access to resources for safe working; worker mental health and well-being; and the effects of changing working practices, particularly flexible working, on their wider household circumstances and work–life balance (especially combining childcare responsibilities with work). First, physical health safety measures (such as PPE) were put in place for all workers, although sometimes with delays. Second, concerning practical support for mental health and well-being at work, the findings highlight that their employers’ practical support was considered limited by some customer-facing participants. In contrast, participants working from home were offered considerably greater employer support for their well-being, including increased and regular communication regarding work and non-work-related topics to tackle isolation and lack of social interactions. Third, work–life balance, and especially childcare were significant issues for those working from home. To improve organisational resilience, employer support for workers needs to better reflect employees’ job role, work setting and location, as well as their household demands such as childcare.

The lessons learned from this study contribute to future employer responses and practices and their organisational resilience, both in times of major crises and also for improving mental-health and childcare support in normal times.

The study considers the role of employee perspectives on organisational resilience and service continuity in public transport during a crisis and in three countries. Importantly, the data were gathered contemporaneously during the early stages of the pandemic, and so are not influenced by retrospective rationalisation or uncertain recollections.

This research investigates the effect of audit report lag on the cost of equity capital. We argue that an extended audit report lag reduces the value of information and raises concerns for investors, resulting in an increased cost of equity capital.

We hypothesize that audit report lag increases the firm cost of equity capital. We conduct ordinary least squares (OLS) regression analyses to examine our hypothesis. Finally, we also perform a range of sensitivity tests to examine the hypothesis and robustness of findings.

Using a sample of the listed US firms from 2003 to 2018, we find that firms with higher audit report lag have a higher cost of equity capital. Our findings are economically significant as one standard deviation increase in audit report lag raises 3.82 basis points of cost of equity capital. Furthermore, our results remain robust to endogeneity concerns and alternative proxies for the cost of equity capital measures. Finally, we confirm that audit report lag increases the firm cost of equity capital through increasing information asymmetry and future financial restatement as a mediating channel.

We contribute to the theoretical discussion about the role of audit report lag and investors' perceptions. Overall, our results suggest that audit report lag affects a firm cost of equity capital.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.

This study aims to identify necessary conditions for innovative entrepreneurship in cities and determine similarities in entrepreneurial configurations among them.

The authors assessed the necessary conditions for various levels of entrepreneurial output and categorized cities based on similar patterns by applying necessary condition analysis (NCA) and cluster analysis in a sample comprised of 101 cities from the entrepreneurial cities index, representing a diverse range of urban environments in Brazil. A comprehensive data set, including both traditional indicators from official Bureau of statistics and nontraditional indicators from new platforms of science, technology and innovation intelligence, was compiled for analysis.

Bureaucratic complexity, urban conditions, transport infrastructure, economic development, access to financial capital, secondary education, entrepreneurial intention, support organizations and innovation inputs were identified as necessary for innovative entrepreneurship. Varying levels of these conditions were found to be required for different entrepreneurial outputs.

The static nature of the data limits understanding of dynamic interactions among dimensions and their impact on entrepreneurial city performance.

Policymakers can use the findings to craft tailored support policies, leveraging the relationship between city-level taxonomy and direct outputs of innovative entrepreneurial ecosystems (EEs).

The taxonomy and nontraditional indicators sheds light on the broader societal benefits of vibrant EEs, emphasizing their role in driving socioeconomic development.

The cluster analysis combined with NCA’s bottleneck analysis is an original endeavor which made it possible to identify performance benchmarks for Brazilian cities, according to common characteristics, as well as the required levels of each condition by each city group to achieve innovative entrepreneurial outputs.

As little is known about the productivity levels of small and medium-sized enterprises (SMEs) engaging with universities and the relative changes in productivity of SMEs subsequent to these collaborations, the paper examines the following questions: (1) Does the relative productivity of SMEs engaging in university collaboration differ from those that do not? (2) Are subsequent changes in firm productivity following university collaboration related to their initial levels of productivity?

The paper utilises data on 254 SMEs from the Longitudinal Small Business Survey and uses two statistical techniques: First, bivariate tests of difference were used to inspect the relationships between productivity levels and whether the firm collaborated with a university to introduce its innovation. Second, ordinary least squares regressions were used to test whether the future productivity of SMEs that collaborated with universities was related to their initial productivity levels.

The analysis reveals that SME–university collaboration is unrelated to starting productivity. Furthermore, the analysis suggests a nonlinear relationship exists between the starting productivity of SMEs and their subsequent productivity following a university collaboration. Therefore, higher levels of subsequent productivity are observed among those SMEs where starting productivity was either relatively low or high, suggesting that collaborations have a transformative effect on SMEs with relatively lower initial levels of productivity and a maintenance effect for SMEs with relatively higher levels of initial productivity.

Given the fact that the extant literature also suggests that, overall, university collaboration is beneficial, policymakers should strive to encourage greater levels of collaboration involving SMEs. In light of the evidence that SME–university collaborations can transform less productive firms, it appears unjustified for practitioners and policymakers to only consider stronger-performing firms to be included in such programmes.

The study contributes new theoretical and practical knowledge to the understanding of the role of firm productivity in predicting the proclivity of firms to collaborate with universities. Furthermore, as few studies have examined the impact of these collaborations on the subsequent productivity of firms that collaborate with universities, this paper fills an existing gap in the literature.