Altmetrics: “big data” that map the influence of New Zealand research

2018 ◽  
Vol 35 (4) ◽  
pp. 1-5 ◽  
Author(s):  
Stacy Konkiel ◽  
Stephanie Guichard
Keyword(s):  
New Zealand ◽  
Citation Analysis ◽  
Design Methodology ◽  
Research Impact ◽  
University Rankings ◽  
Journal Articles ◽  
Data Set ◽  
Content Type ◽  
Mainstream Media ◽  
The Impact

Purpose Altmetrics can offer organizations a unique opportunity to understand the non-traditional scholarly and public influence of their institutions’ research. This paper aims to look at bibliometrics and altmetrics for New Zealand research published in 2016 to understand the country’s research’s reach in social media, mainstream media and public policy, as well as more traditional measures of research impact such as university rankings, citations and publications. Design/methodology/approach Research insights platform Dimensions was searched for author affiliations and publication dates for papers published in 2016 by New Zealand researchers (n = 10,934). The study then used Dimensions to perform citation analysis and Altmetric Explorer to find altmetrics for these journal articles, and to generate visualizations to better interrogate the data set. Findings Of the 10,934 papers published in 2016 by New Zealand (2016 NZ) researchers, 5,413 (49.5 per cent) were mentioned 86,915 times in one of the 16 sources that Altmetric tracks. Twitter, news outlets and Facebook were among the sources that showed the most engagement with New Zealand 2016 research. Citation analysis tools in Dimensions showed that New Zealand 2016 research had a higher than average Field Citation Ratio (1.51) and Relative Citation Ratio (1.29). Originality/value This study combines traditional bibliometric analysis with altmetrics to find new insights into the impact of recent New Zealand research. It suggests new means for organizations to demonstrate the value of the research they produce.

Can non-CEO inside directors add value? Evidence from unplanned CEO turnovers

2019 ◽  
Vol 18 (3) ◽  
pp. 456-482
Author(s):  
Laurie Krigman ◽  
Mia L. Rivolta
Keyword(s):  
Succession Planning ◽  
Design Methodology ◽  
Leadership Transition ◽  
Data Set ◽  
Content Type ◽  
Matching Process ◽  
Inside Directors ◽  
Transfer Of Information ◽  
The Impact ◽  
Practical Implications

Purpose This paper aims to investigate the roles of non-CEO inside directors (NCIDs) in the new CEO-firm matching process using the context of unplanned CEO departures when immediate CEO succession planning becomes a sole board responsibility. Although critics argue that inside directors decrease the monitoring effectiveness of a board, inside directors arguably possess superior firm-specific experience and knowledge that can be beneficial during the leadership transition. Design/methodology/approach The authors use a comprehensive, manually collected data set of unplanned CEO departures from 1993 to 2012. Findings The authors find that NCIDs play an important role in the CEO transitioning process. They help firms identify qualified inside replacements and provide stability as the new permanent or interim CEO. In addition, NCIDs facilitate the transfer of information and help the new external CEOs succeed. They show that the longer the NCID stays with the company, the longer the tenure of the new CEO. They also document that the presence of NCIDs improves operating and stock performance; especially when the new CEO is hired from outside of the firm. Practical implications The impact of NCIDs is particularly important when the firm hires an outsider as the new CEO. These results suggest that board composition affects frictions in the CEO labor market. Originality/value The literature has predominantly focused on the downside of having inside directors. Too many inside directors on a firm’s board is often associated with ineffective boards and entrenchment. To the contrary, the authors focus on a potential benefit of having inside directors.

Board gender diversity and US corporate bonds

2019 ◽  
Vol 15 (5) ◽  
pp. 771-791 ◽  
Author(s):  
Renee M. Oyotode-Adebile ◽  
Zubair Ali Raja
Keyword(s):  
Panel Data ◽  
Propensity Score ◽  
Design Methodology ◽  
Gender Diversity ◽  
Data Set ◽  
Content Type ◽  
Gender Diverse ◽  
Board Gender Diversity ◽  
The Impact ◽  
Women Participation

Purpose The purpose of this paper is to examine the impact of board gender diversity on bond terms and bondholders’ returns. Design/methodology/approach The authors perform pooled OLS regression, simultaneous regressions and propensity score matching to a panel data set of bond data for 319 US firms from 2007 to 2014. Findings The authors find that firms with gender-diverse boards have lower yields, higher ratings, larger issue size and shorter maturity. They also find that bondholders require fewer returns from firms with gender-diverse boards. However, the effect is more pronounced when women, constitutes at least 29.67 percent of the board. Originality/value This analysis supplements the findings that board gender diversity is essential for bondholders. It shows that bondholders should look at board gender diversity as a criterion to invest because bonds issued by firms with gender-diverse board have less risk. For practitioners, this study shows that more women participation on boards leads to a reduction in borrowing costs.

The impact of corruption on sport demand

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carlo Amenta ◽  
Paolo Di Betta
Keyword(s):  
Design Methodology ◽  
Linear Models ◽  
Negative Externalities ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
Log Linear ◽  
Systemic Corruption ◽  
The Impact

PurposeThe article presents an empirical analysis that evaluates the effects of a systemic corruption scandal on the demand in the short and the long run. In 2006, the Calciopoli scandal uncovered the match rigging in the Italian soccer first division. The exemplary sportive sanction of relegating the primary culprit to the second division imposed further negative externalities on the other clubs. Should we prefer the sportive sanction on the team or the monetary fines for the club?Design/methodology/approachWe estimated two log-linear models of the demand side (stadium attendance) using a fixed effect estimator, on two panel data set made of all the Italian soccer clubs in the first and second division (Serie A and Serie B) for the seasons 2004/2005 to 2009/2010, considering the relegation of the Juventus as the event which impacted the demand for soccer.FindingsRelegating Juventus to Serie B caused an immediate decrease of 18.4% in the attendance for all the teams, both in Serie A and in Serie B, for the three seasons considered, and 1% decrease when all the seasons are considered to measure the fallout of the scandal on the fans' disaffection.Originality/valueThe effect of corruption in sport on demand is an important issue, and there are few studies already published. As for sports economics and management, our results are of interest for sport-governing bodies – as a case study that can help in designing a more effective sanctioning system to prevent corruption episodes.

Leverage risks for supply chain robustness against corruption

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaojing Liu ◽  
Tiru Arthanari ◽  
Yangyan Shi
Keyword(s):  
Supply Chain ◽  
New Zealand ◽  
Supply Chains ◽  
Design Methodology ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Content Type ◽  
Supply Chain Risks ◽  
The Impact ◽  
Supply Chain Robustness

PurposeThis paper examines the establishment of supply chain robustness against corruption by utilizing risk interactions.Design/methodology/approachBased on empirical results from the New Zealand dairy industry, a system dynamics model is established to explore the underlying relationships among variables.FindingsThe results show that although certain supply chain risks seem unrelated to corruption, their mitigation would help mitigate the impact of corruption due to risk interactions; and mitigation of some of the risks is more effective in mitigating the impact of corruption. Leverage risks have been defined and identified in this research, which expands the extant knowledge in reducing the impact of corruption on supply chains.Originality/valueThe research illustrates how the impact of corruption can be studied in an integrated way with dairy supply chain SD analysis. It is a pioneering study to mitigate the impact of corruption on supply chains from supply chain robustness.

Which food prices were more vulnerable to the COVID-19 blockade regulations in China? Comparison between perishable and storable vegetables

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yupeng Wang ◽  
Satoru Shimokawa
Keyword(s):  
Spatial Dependence ◽  
Fixed Effects ◽  
Design Methodology ◽  
Food Prices ◽  
Panel Var ◽  
Fixed Effects Model ◽  
Dynamic Panel ◽  
Data Set ◽  
Content Type ◽  
The Impact

PurposeThis paper aims to investigate how differently the COVID-19 blockade regulations influence the prices of perishable and storable foods. The authors focus on the cases of the 2020 blockade at Hubei province and the 2021 blockade at Shijiazhuang city in China, and the authors examine how the blockade influenced the prices of Chinese cabbages (perishable) and potatoes (storable) within and around the blockade area.Design/methodology/approachThe paper employs the fixed effects model, the panel VAR (PVAR) model, and the spatial dynamic panel (SPD) model to estimate the impacts of the blockade on the food prices. It constructs the unique data set of 3-day average prices of Chinese cabbages and potatoes at main wholesale markets in China during the two urban blockade periods from January 1 to April 8 in 2020 and from January 1 to March 1 in 2021.FindingsThe results from the SPD models indicate that the price of Chinese cabbages was more vulnerable and increased by 7.1–9.8% due to the two blockades while the price of potatoes increased by 1.2–6.1%. The blockades also significantly influenced the prices in the areas adjacent to the blockade area. The SPD results demonstrate that the impacts of the blockades would be overestimated if the spatial dependence is not controlled for in the fixed effects model and the PVAR model.Research limitations/implicationsBecause the research focuses on the cases in China, the results may lack generalizability. Further research for other countries is encouraged.Originality/valueThis paper demonstrates the importance of considering food types and spatial dependence in examining the impact of the COVID-19 blockades on food prices.

Allocative and technical efficiency of New Zealand Banks

2016 ◽  
Vol 24 (4) ◽  
pp. 574-587
Author(s):  
Paul Rouse ◽  
David Tripe
Keyword(s):  
New Zealand ◽  
Technical Efficiency ◽  
Design Methodology ◽  
Allocative Efficiency ◽  
Improve Performance ◽  
Data Set ◽  
Content Type ◽  
Academic Literature ◽  
Price Effects ◽  
Technical And Allocative Efficiency

Purpose Paying too much for funding or failing to obtain adequate returns for lending and interest-bearing assets because of inappropriate mix is just as much a source of inefficiency in banking as overutilisation of input resources. The purpose of this research is to examine bank performance in terms of both technical and allocative efficiency. Design/methodology/approach This paper uses an extensive quarterly data set from New Zealand (NZ), which allows a decomposition of interest costs and revenues into quantity and price effects to explore the factors, including both technical and allocative efficiency, that impact changes in banks’ costs and revenues. Findings The research finds that focusing solely on technical efficiency can give a misleading impression of banking performance in our NZ sample. The inclusion of allocative efficiency measurement shows greater variability of performance, as well as highlighting changes in the mix of inputs and outputs needed for banks to improve performance. Originality/value A focus on prices and allocative efficiency has received little attention in the academic literature on banking. This paper shows how banking data can be decomposed into the respective price and quantity components.

Escape the “Hockey stick” trap: five potent strategic moves that spur growth

2018 ◽  
Vol 46 (4) ◽  
pp. 11-20
Author(s):  
Brian Leavy
Keyword(s):  
Design Methodology ◽  
Trigger Points ◽  
Data Set ◽  
Content Type ◽  
Hockey Stick ◽  
Economic Profit ◽  
Strategy Process ◽  
Available Information ◽  
The Impact ◽  
Practical Implications

Purpose This interview with the authors of Strategy – Beyond the Hockey Stick offers their insights into a major problem which has bedevilled the strategy process in too many companies over the years - the combination of bold but delusional “hockey-stick” forecasts and timid strategic moves – a coupling that severely limits the impact of any strategy. Design/methodology/approach The McKinsey authors examined publicly available information on the world’s 2,393 largest companies, and plotted their average annual economic profit Findings They found that the curve is extremely steep at the both ends: those in the top quintile average some 30 times as much economic profit as those in the middle three quintiles. Practical implications One of the biggest pitfalls in the strategy process is this very human propensity for bold forecasts and timid actions. Strategy requires confronting uncertainly head-on by embracing the notion of probability by calibrating the odds of a strategy succeeding, building in explicit trigger points to re-examine decisions as we learn more. 10; Originality/value What has been largely missing from the literature is a study of the average-to-top transition based on an extensive data set, one that encompasses a greater range of performance profiles and average-to-top transition trajectories. This is the knowledge gap that Strategy Beyond the Hockey Stick: People, Probabilities, and Big Moves to Beat the Odds fills.

Does sustainability reporting promote university ranking? Australian and New Zealand evidence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuan George Shan ◽  
Junru Zhang ◽  
Manzurul Alam ◽  
Phil Hancock
Keyword(s):  
New Zealand ◽  
Generalized Method Of Moments ◽  
Sustainability Reporting ◽  
Ordinary Least Squares ◽  
University Rankings ◽  
University Ranking ◽  
Data Set ◽  
Content Type ◽  
The University ◽  
Reporting Channels

Purpose This study aims to investigate the relationship between university rankings and sustainability reporting among Australia and New Zealand universities. Even though sustainability reporting is an established area of investigation, prior research has paid inadequate attention to the nexus of university ranking and sustainability reporting. Design/methodology/approach This study covers 46 Australian and New Zealand universities and uses a data set, which includes sustainability reports and disclosures from four reporting channels including university websites, and university archives, between 2005 and 2018. Ordinary least squares regression was used with Pearson and Spearman’s rank correlations to investigate the likelihood of multi-collinearity and the paper also calculated the variance inflation factor values. Finally, this study uses the generalized method of moments approach to test for endogeneity. Findings The findings suggest that sustainability reporting is significantly and positively associated with university ranking and confirm that the four reporting channels play a vital role when communicating with university stakeholders. Further, this paper documents that sustainability reporting through websites, in addition to the annual report and a separate environment report have a positive impact on the university ranking systems. Originality/value This paper contributes to extant knowledge on the link between university rankings and university sustainability reporting which is considered a vital communication vehicle to meet the expectation of the stakeholder in relevance with the university rankings.

Innovation and the performance of informal enterprises in developing countries: a gender perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elvis Korku Avenyo ◽  
Erika Kraemer-Mbula
Keyword(s):  
Product Innovation ◽  
Business Performance ◽  
Design Methodology ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Product Innovations ◽  
Innovative Products ◽  
The Impact ◽  
Research And Policy

Purpose Examining the impact of gender on various aspects of business performance has gained research and policy traction, although the empirical evidence remains inconclusive. This paper aims to focus on one type of business, namely, informal enterprises and one dimension of business performance, namely, product innovation, to better understand how product innovations affect employment in both female- and male-owned informal enterprises. Design/methodology/approach This paper relies on a unique data set of 513 informal enterprises located in two urban centres in Ghana (Accra and Tema), covering the period between 2013 and 2015 and the Dose-Response Model to examine the effect of product innovations on employment in informal enterprises in urban Ghana. Findings The findings suggest that product innovation has considerable beneficial impacts on the creation of employment in informal enterprises. The results do not show systematic differences in the factors affecting product innovation in female- and male-owned enterprises. However, they suggest that although female-owned enterprises are less likely to introduce product innovations, they do sell more innovative products. Originality/value These findings support the view that innovation is “gendered”, and therefore, requires a “gendered” policy lens.

scholarly journals Journal of Behavioral Finance in retrospect

2019 ◽  
Vol 11 (4) ◽  
pp. 468-476
Author(s):  
Angelito Calma
Keyword(s):  
Behavioral Finance ◽  
Design Methodology ◽  
Web Of Science ◽  
Journal Articles ◽  
Content Type ◽  
Publication History ◽  
Novel Approach ◽  
The Usa ◽  
History Of ◽  
The Impact

Purpose The purpose of this paper is to examine the impact and contribution of the Journal of Behavioral Finance (JBF). Design/methodology/approach It uses the metadata from 328 journal articles (2004–2017) extracted from Scopus and Web of Science. The data included 2,602 author-submitted keywords, 1,825 index keywords and 310 abstracts. Findings Results indicate that JBF is still a young journal with 196 academic articles cited by 372 documents. Most citations come from JBF itself and the Journal of Behavioral and Experimental Finance. Mesly and Seiler are the most published, University of Gothenberg has more contributions than any other institution while the USA, Australia and UK represent nearly half of those citations. Investment policy is the most used author keyword next to behavioural finance, while risk is the most used index keyword. The most commonly used words in abstracts are investor or investors. The implications of and for JBF are discussed. Originality/value It is a unique and novel approach to analysing almost the entire publication history of the journal by using citation analysis.

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