Robert Faff, David Mathuva, Mark Brosnan, Sebastian Hoffmann, Catalin Albu, Searat Ali, Micheal Axelsen, Nikki Cornwell, Adrian Gepp, Chelsea Gill, Karina Honey, Ihtisham Malik, Vishal Mehrotra, Olayinka Moses, Raluca Valeria Ratiu, David Tan and Maciej Andrzej Tuszkiewicz
The authors passively apply a researcher profile pitch (RPP) template tool in accounting and across a range of Business School disciplines.
Abstract
Purpose
The authors passively apply a researcher profile pitch (RPP) template tool in accounting and across a range of Business School disciplines.
Design/methodology/approach
The authors document a diversity of worked examples of the RPP. Using an auto-ethnographic research design, each showcased researcher reflects on the exercise, highlighting nuanced perspectives drawn from their experience. Collectively, these examples and associated independent narratives allow the authors to identify common themes that provide informative insights to potential users.
Findings
First, the RPP tool is helpful for accounting scholars to portray their essential research stream. Moreover, the tool proved universally meaningful and applicable irrespective of research discipline or research experience. Second, it offers a distinct advantage over existing popular research profile platforms, because it demands a focused “less”, that delivers a meaningful “more”. Further, the conciseness of the RPP design makes it readily amenable to iteration and dynamism. Third, the authors have identified specific situations of added value, e.g. initiating research collaborations and academic job market preparation.
Practical implications
The RPP tool can provide the basis for developing a scalable interactive researcher exchange platform.
Originality/value
The authors argue that the RPP tool potentially adds meaningful incremental value relative to existing popular platforms for gaining researcher visibility. This additional value derives from the systematic RPP format, combined with the benefit of easy familiarity and strong emphasis on succinctness. Additionally, the authors argue that the RPP adds a depth of nuanced novel information often not contained in other platforms, e.g. around the dimensions of “data” and “tools”. Further, the RPP gives the researcher a “personality”, most notably through the dimensions of “contribution” and “other considerations”.
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Keywords
Ihtisham Abdul Malik and Shehla Amjad
This paper aims to investigate the impact of FDI on the stock market development in Pakistan, both aggregate as well as sector wise, the reason being that no such work has been…
Abstract
Purpose
This paper aims to investigate the impact of FDI on the stock market development in Pakistan, both aggregate as well as sector wise, the reason being that no such work has been carried out in this context.
Design/methodology/approach
The study is based on secondary data for the period 1985‐2011. Johansen co‐integration approach is used for determining relationship among variables for aggregate stock market development in long run. Granger causality test is also applied to check the causal relation between the variables. Correlation analysis and regression analysis has been used for examining the relationship of sector wise development, FDI and economic growth in Pakistan.
Findings
The results support the positive role of FDI in boosting the aggregate stock market development in long run. Bi‐directional causality between FDI and economic growth has been found along with the uni‐directional causality between aggregate stock market development and economic growth. For sector wise development the relationship of FDI is positive in the sectors where FDI concentration is high in recent years whereas and negative in other sectors.
Originality/value
Co‐integration coefficients showed a positive and statistically strong relationship between FDI and aggregate market capitalization thus reflecting the complementary role of FDI in the stock market development of Pakistan.
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Wenyan Xu, Qiran Zhao, Wei Si and Chen Zhu
While the adverse health consequences of obesity are well-documented, the causal effect between obesity and economic outcomes, particularly individual income in the labor market…
Abstract
Purpose
While the adverse health consequences of obesity are well-documented, the causal effect between obesity and economic outcomes, particularly individual income in the labor market, has yielded inconsistent findings. At the same time, China has the highest number of obese or overweight people around the world in recent years. However, limited research has examined the causal effect of obesity on Chinese rural residents’ income. To answer this question, our study aims to identify the causal impact of obesity on Chinese rural residents.
Design/methodology/approach
First, we conduct ordinary least squares, instrumental variable and Mendelian randomization methods to evaluate the impact of obesity on Chinese rural residents’ income. Then, we employ quantile regression and instrumental variable quantile regression to investigate the potential distributional impacts of obesity across various income segments. For the generality of our results, we also use 485,849 samples from the UK Biobank and the two-sample Mendelian randomization method to analyze.
Findings
Our one-sample Mendelian randomization analysis, based on a sample of 441 people collected from rural China in 2019 and 2021, revealed that obesity reduced residents’ annual income by 647.87 China Yuan. Results from the UK further support our findings. We also find that the adverse causal impact of obesity on income is significant in individuals within the above 50th percentile of the income distribution. Additionally, childhood obesity has a long-term adverse effect on income in adulthood.
Research limitations/implications
These results contribute to a more nuanced understanding of the economic costs of obesity. Weight penalties may lead to a deviation from the efficiency that should be pursued in the labor market and widen income disparity.
Originality/value
We provide novel and robust instrumental variables and utilize the Mendelian randomization method to analyze the effect of obesity on Chinese rural residents.
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Shuang Tian, Lin Wu and Kulwant S. Pawar
Characterised by simultaneous food waste and shortages, our current food system is far from sustainable. Industry 4.0 has responded with technology-enabled innovations, including…
Abstract
Purpose
Characterised by simultaneous food waste and shortages, our current food system is far from sustainable. Industry 4.0 has responded with technology-enabled innovations, including digital food-sharing platforms aimed at facilitating the efficient redistribution of surplus food. However, potential users often express reluctance to adopt such platforms, prompting this study to explore the underlying reasons for their hesitations.
Design/methodology/approach
This study was conducted in China, the world’s largest platform economy, where food-sharing platforms are notably absent. Using a vignette-based qualitative approach, semi-structured interviews were conducted with 35 potential users. The data were analysed through thematic analysis to uncover insights into adoption intentions.
Findings
The findings highlight the relevance of factors identified in existing technology acceptance theories, such as performance expectancy, effort expectancy, social influence, hedonic motivation, facilitating conditions and price value, in shaping adoption intentions. Additionally, content-specific and context-specific factors – such as trust in other users and the platform, concerns about “losing face” (mianzi) and safety concerns during the pandemic – emerged as critical influences on users' decisions to engage with these platforms.
Originality/value
This study contributes to scholarly discussions on enhancing the effectiveness of new technological innovations for food supply chain sustainability. The theoretical contributions expand the technology acceptance literature by incorporating factors related to platform service content and operating context.