bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the risk of the European Union carbon allowance market
Authors: Dutta Anupam , Jalkh Naji , Bouri Elie , Dutta Probal 
Published: June 2019

Purpose
The purpose of this paper is to examine the impact of structural breaks on the conditional variance of carbon emission allowance prices.

Design/methodology/approach
The authors employ the symmetric GARCH model, and two asymmetric models, namely the exponential GARCH and the threshold GARCH.

Findings
The authors show that the forecast performance of GARCH models improves after accounting for potential structural changes. Importantly, we observe a significant drop in the volatility persistence of emission prices. In addition, the effects of positive and negative shocks on carbon market volatility increase when breaks are taken into account. Overall, the findings reveal that when structural breaks are ignored in the emission price risk, the volatility persistence is overestimated and the news impact is underestimated.

Originality/value
The authors are the first to examine how the conditional variance of carbon emission allowance prices reacts to structural breaks.
Religion, national culture and cross-country differences in the use of trade credit
Authors: Mättö Markus , Niskanen Mervi 
Published: June 2019

PurposeThe purpose of this paper is to investigate whether religion or national culture can explain previously observed cross-country variation in trade credit.Design/methodology/approachUsing the firm-level SME data from 35 European countries, religion and cultural factors of Hofstede and Schwartz, the authors provide new evidence on the determinants of the cross-country variation in trade credit.FindingsThe results indicate that religion and national culture are associated with trade credit. The authors find that the levels of trade credit are higher in Catholic countries than in Protestant ones and that peoples’ religiousness has an impact on trade credit only in Catholic countries. The authors also find that Hofstede’s cultural dimensions, such as power distance and uncertainty avoidance, are positively associated with trade credit.Practical implicationsOverall, authors’ findings indicate that religion and national culture are important determinants of trade credit management, and that the association between commonly used cultural values and trade credit depends on the religious, legal, and financial environment.Originality/valueTo the best of authors’ knowledge, this is the first study to research the relationship between national culture and trade credit.
Fifty years inside the minds of truck drivers
Authors: LeMay Stephen , Keller Scott B. 
Published: June 2019

PurposeThe purpose of this paper is to examine the past 50 years of driver research from a historical context linked to the political and economic developments of the US motor carrier industry.Design/methodology/approachA comprehensive literature review was conducted and studies were targeted that exemplified eras of historic change pertaining to trucking published within the top-tier logistics journals.FindingsDistinctive categorizations of driver research emerged: organizing era from 1930 to 1949, era of the collective mind from 1950 to 1979, era of the individual from 1980 to 2009 and the era of the driver as extension of the firm from 2010 to present. Research streams are highly influenced by current industry developments, economic conditions and the political landscape.Research limitations/implicationsThe chronological framework of research established specific time-based eras. An alternative framework or other emerging eras may be conceived as scholars consider factors in addition to those explored within this research.Practical implicationsManagers within developing countries may leverage the research within a specific era to help resolve driver problems that have already been researched in the USA. Scholars are encouraged to further study truck drivers as critical extensions of the firm in light of the advances in autonomous vehicles, drones and other technology impacting the motor carrier industry.Social implicationsFor nearly a half century, the turnover of truck drivers has been a major issue. This research provides driver managers with the knowledge to better understand and to more adequately provide for the needs and welfare of truck drivers.Originality/valueThis research is the first to fully connect the research and developments pertaining to the motor carrier industry, the occupation of truck driving and the historical developments of US policy and the economy.
Organisational culture, environmental management control systems, environmental performance of Pakistani manufacturing industry
Authors: Ong Tze San , Magsi Hussain Bakhsh , Burgess Thomas F. 
Published: June 2019

PurposeThe purpose of this paper is to analyze the influence of organizational culture (OC) on a firm’s environmental performance (EP) via the mediating variable of environmental management control systems (EMCS).Design/methodology/approachData were collected from 314 Pakistani manufacturing firms via the questionnaire survey, and the structural equation modeling was used to test the relationships.FindingsThe stable and flexible values of OC affect the effectiveness of formal and informal EMCS. Informal EMCS mediates the relationship between flexible values and EP, whereas formal EMCS mediates the stable values and EP. Overall, the data reveal that the integration of environmental culture within an organization’s culture and control systems leads to improve EP.Originality/valueThe study is one of the first, to the author’s knowledge, that links OC, EMCS, and EP in a developing economy, in this case Pakistan.
Determinants of Portuguese firms’ financial performance: panel data evidence
Authors: Vieira Elisabete Simões , Neves Maria Elisabete , Dias António Gomes 
Published: June 2019

PurposeThe purpose of this paper is to analyse the determinants of Portuguese firms’ performance.Design/methodology/approachTo achieve this aim, the authors used data from 37 non-financial firms in the period between 2010 and 2015. Three dependent variables were tested and the estimation of the model using the Generalised Method of Moments shows that internal, external and institutional factors are important to explain the performance of firms listed in Euronext Lisbon.FindingsThe determinants of firm performance vary depending on the variable used to measure the performance. Specifically, the results show that when the authors use a market variable of performance, the firm-specific variables are not so important to explain performance. The macroeconomic factors, including the investor’s sentiment and insider ownership, more effectively explain the firm’s performance. The evidence suggests that the determinants of firm performance change according to the way in which different stakeholders appreciate firm performance.Originality/valueThe main contribution of such approach is to show that internal and external factors influence performance measures in distinct ways, thus helping managers who are expected to make decisions according to the investors’ expectations. It provides initial guidelines for policy makers to understand how to improve the performance of their firms using firm-specific factors. Additionally, this work also demonstrates that the firm’s characteristics, macroeconomics and governance factors could affect the Portuguese firms’ performance, conveying a valuable contribution for investors.
Promoting employee innovation performance
Authors: Mumtaz Sabiha , Parahoo Sanjai K. 
Published: June 2019

PurposeThe purpose of this paper is to examine the role of individual differences particularly self-efficacy (SE) and growth need strength (GNS) as antecedents of employee innovation performance (IP).Design/methodology/approachUsing a sample of 354 employees in the United Arab Emirates service sector, the study used exploratory factor analysis, confirmatory factor analysis and structural equation modeling to test the model for IP. The predictors of IP were SE (conceptualized as a three-factor construct including initiative, effort and persistence) and GNS.FindingsSE-effort, SE-persistence and GNS had a significant direct effect on IP with SE-effort displaying strongest relationship, followed by SE-persistence and lastly GNS, while SE-initiative did not have a significant direct effect on IP.Originality/valueThe present study contributes to scant literature pertaining to the relationship of GNS with IP. It is the first study to examine both SE and GNS together in the same model for their impact on IP.
Post popularity and reactions in retail brand pages on Facebook
Authors: Antoniadis Ioannis , Paltsoglou Symeon , Patoulidis Vasilis 
Published: June 2019

Purpose
Social networking sites and Facebook have grown to become an important channel of interactive marketing communication with consumers for retail. The purpose of this paper is to examine the ways posts characteristics and reactions affect post popularity and engagement in retail brands Facebook pages.

Design/methodology/approach
In total, 18 retail brand pages out of the 120 most popular brand pages on Facebook in Greece are examined for a three months’ period (April–June 2016). In all, 2,627 posts are analyzed with the use of OLS regressions in order to identify the characteristics of posts that increase consumers’ engagement, including the newly introduced reaction feature.

Findings
The results suggest that richness of content (images and videos) and message length increase the engagement levels and the popularity of posts. Reactions have a positive effect on engagement, and negative reactions stronger than positive reactions, except in sharing. On the other hand, posting time does not seem to have a statistically significant impact on the engagement and popularity of a post.

Research limitations/implications
The study was conducted during a period that reactions were only recently introduced by Facebook, therefore users and brands may not have been familiarized with their use.

Practical implications
The study contributes to the understanding of consumer engagement with retail brands’ pages on Facebook and social media, and the ways they use reactions and other ways of interactions with brand posts. The results can provide some insight to retailers on how to achieve higher levels of engagement for their brands through their Facebook pages, improving the effectiveness of social media marketing campaigns.

Originality/value
The findings contribute in understanding the ways users interact with brand posts in Facebook using reactions, using a number of popularity measures, providing useful insights about reactions, engagement and e-WoM, extending prior research.
Students’ intentions to use PBWorks: a factor-based PLS-SEM approach
Authors: Cheng Eddie W.L. , Chu Samuel K.W. , Ma Carol S.M. 
Published: June 2019

PurposeWikis, as one of the Web 2.0 tools, has been increasingly used to engage students to learn with others in a collaborative virtual environment. However, there are relatively few studies examining the application of wikis in secondary schools. Therefore, this study aims to investigate factors affecting the use of PBWorks (a popular wiki tool).Design/methodology/approachThe aim was achieved by empirically examining an extended technology acceptance model (TAM) from a sample of 429 junior secondary students in Hong Kong. Specifically, relationships among six latent variables, which were school support, teacher support, perceived ease of use, perceived usefulness, attitudes towards use and the intention to use, were posited in the model. The more robust factor-based partial least squares structural equation modelling (factor-based PLS-SEM) was used to test the research model.FindingsThe results indicated that most of the hypotheses were supported, which suggested that the extended TAM could explain the rationale behind students’ intentions to use PBWorks for group projects.Originality/valueThis paper extended the original TAM by including two additional variables (school support and teacher support) for explaining behavioural intentions. Because of the increased use of e-learning platforms in secondary schools, more understanding of what motivates secondary school students’ e-learning intentions is necessary.
Improving surface quality in microcutting of 10B/Al composite
Authors: Wang Xingjun , Yang Zhuoran , Xu Feifei , Wang Liping 
Published: June 2019

Purpose
The microcutting performance of the 10B/Al composite is significantly poor because of the existence of hard boron particles. The effects of cutting parameters, including uncut chip thickness and cutting speed, on the material removal mechanism and surface generation are investigated to improve the surface quality.

Design/methodology/approach
The 2D finite element model, which includes a rigid cutting tool, a reinforced phase, a matrix and a dense layer, is established. The effects of uncut chip thickness on material removal mechanism and surface generation are analyzed from a probabilistic perspective. The relationship between the uncut chip thickness and the probability in which the machined surface will have a better surface quality is constructed. A Gaussian distribution formula is applied to describe the machined surface quality.

Findings
Two representative particle-removal modes, namely, cutting-through and pulling-out modes, are observed. For cutting-through mode, when the relative cutting location is small, better surface quality is obtained. For pulling-out mode, the quality of the machined surface gradually improves because the further increase of the relative cutting location reduces the height of the generated pit and scratches. The microcutting at high cutting speed tends to suppress the scratch phenomenon. The best surface quality will be obtained at small uncut chip thickness and high cutting speed.

Originality/value
The surface quality generated in microcutting of the 10B/Al composite can be improved by optimizing the cutting parameters and controlling the particle-removal modes based on the proposed Gaussian distribution formula.
Assembling an infrastructure for historic climate data recovery: data friction in practice
Authors: Bates Jo , Goodale Paula , Lin Yuwei , Andrews Penny 
Published: June 2019

PurposeThe purpose of this paper is to adopt an assemblage theory lens to examine the socio-material forces shaping the development of an infrastructure for the recovery of archived historical marine weather records for use in contemporary climate data sets.Design/methodology/approachThe authors adopted a data journeys approach to research design, conducting in-depth semi-structured interviews with climate scientists, citizen scientists and a climate historian who were engaged at key sites across the journey of data from historical record to the International Comprehensive Ocean-Atmosphere Data Set database. Interview data were complemented by further qualitative data collected via observations of working practices, a digital ethnography of citizen scientists’ online forums, and documentation relevant to the circulation and governance of climate data across emergent data infrastructures. Data were thematically analysed (Ryan and Bernard, 2003), with themes being informed primarily by the theoretical framework.FindingsThe authors identify and critically examine key points of friction in the constitution of the data recovery infrastructure and the circulation of data through it, and identify the reflexive and adaptive nature of the beliefs and practices fostered by influential actors within the assemblage in order to progress efforts to build an infrastructure despite significant challenges. The authors conclude by addressing possible limitations of some of these adaptive practices within the context of the early twenty-first century neoliberal state, and in light of current debates about data justice.Originality/valueThe paper draws upon original empirical data and a novel theoretical framework that draws together Deleuze and Guattari’s assemblage theory with key concepts from the field of critical data studies (data journeys, data friction and data assemblage) to illuminate the socio-material constitution of the data recovery infrastructure within the context of the early twenty-first century neoliberal state.
From hierarchies to networks
Authors: Chapman Christopher 
Published: June 2019

Purpose
Historically, the school effectiveness and improvement movement has focussed its attention on “within school” factors associated with effectiveness and improvement and on the individual school as the primary unit of analysis for improvement and scrutiny purposes. More recently, research has focussed on school-to-school collaboration and engagement with a broader range of services and providers has highlighted the need for more adaptive and nuanced forms of collaboration and partnership. The purpose of this paper is to explore this complex landscape from the perspective of educational reform of the middle tier in Scotland.

Design/methodology/approach
This paper draws on perspectives associated with socio-cultural theory, its application to public service settings and insights gained from research and evaluation outcomes over a five-year period.

Findings
This paper focusses on the establishment of Regional Improvement Collaboratives in Scotland; an example of an attempt to generate system-wide change and a shift from the hierarchical cultures characterised by bureaucratic organisations to more egalitarian cultures characterised by mutualistic, laterally networked organisations. It highlights the importance of structure and cultural change, identity and agency, leadership capacity, outward perspectives, primacy of learning and teaching and variations and complexities in creating a more networked and collaborative education system. It offers cautions concerning potential unintended consequences in the quest to develop a “self-improving” or “learning system”.

Practical implications
This paper highlights the importance of maintaining and building social cohesion between different stakeholders within educational systems in order to support the implementation of educational reform.

Originality/value
This is the first documentation and reflective analysis for an ambitious reform agenda for the middle tier in Scotland. Its value lies in the lessons and considerations it offers to other systems embarking on reforms that endeavour to build more cohesive and agile education systems, without opening them up to neo-liberal approaches to education.
The impact of public scrutiny on executive compensation
Authors: Carrothers Andrew Glen 
Published: June 2019

PurposeThis paper aims to examine the impact of public scrutiny on chief executive officer (CEO) compensation at Standard & Poor’s (S&P) 500 firms.Design/methodology/approachThis paper uses the unique opportunity provided by the 2008 financial crisis and, in particular, government support and legislated compensation restrictions in the US Department of the Treasury’s Troubled Asset Relief Program (TARP). It aggregates monetary and non-monetary executive compensation information from 2006 to 2012, with firm- and manager-level data. It presents univariate summary compensation results and uses multivariate regression analysis to isolate the impact of public scrutiny and legislated compensation restrictions on executive pay.FindingsOverall, the results are consistent, with increased public scrutiny having a lasting impact on perks and temporary impact on wage and legislated compensation restrictions having a temporary impact on wage. Changes in specific perk items provide evidence on which perks firms perceive as excessive and which provide common value.Originality/valueThe paper contributes to the discussion of perks as excess by introducing a novel data set of perk compensation at S&P500 firms and by studying how firms choose to alter levels of specific perk items in response to increased public scrutiny and legislated compensation restrictions. The paper contributes to the literature on executive pay as there has been little inquiry into the impact of public scrutiny on compensation. Public scrutiny could be an important source of external governance if firms change behavior in response to explicit and implicit scrutiny costs.
Incentives and risk-sharing in public procurement of innovations
Authors: Suhonen Niko , Tammi Timo , Saastamoinen Jani , Pesu Jarkko , Turtiainen Matti , Okkonen Lasse 
Published: June 2019

Purpose
Public procurement of innovations (PPIs) addresses a specified need of the public-sector customer or aims at fostering private firms’ innovativeness. In an operational sense, issues of information asymmetry and risk sharing between the public agency and the supplier are of paramount importance. The purpose of this paper is to focus on the contract design issues of PPI.

Design/methodology/approach
Explicit and implicit contracting methods are reviewed, and a conceptual framework is proposed in which procurement characteristics are analyzed, focusing on the dimensions of the supplier’s sensitivity to the procurement risk and the power of implicit contracting methods.

Findings
Because of its complex nature, applying cost-plus contracts instead of more common fixed-price contracts is advisable in PPI.

Originality/value
Possible reasons for the more prominent role of contract design in the USA as opposed to the European Union procurement are discussed.
Artificial Intelligence powered Internet of Things and smart public service
Authors: Ma Ying , Ping Kang , Wu Chen , Chen Long , Shi Hui , Chong Dazhi 
Published: June 2019

Purpose
The Internet of Things (IoT) has attracted a lot of attention in both industrial and academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent years as well. AI naturally combines with the Internet of Things in various ways, enabling big data applications, machine learning algorithms, deep learning, knowledge discovery, neural networks and other technologies. The purpose of this paper is to provide state of the art in AI powered IoT and study smart public services in China.

Design/methodology/approach
This paper reviewed the articles published on AI powered IoT from 2009 to 2018. Case study as a research method has been chosen.

Findings
The AI powered IoT has been found in the areas of smart cities, healthcare, intelligent manufacturing and so on. First, this study summarizes recent research on AI powered IoT systematically; and second, this study identifies key research topics related to the field and real-world applications.

Originality/value
This research is of importance and significance to both industrial and academic fields researchers who need to understand the current and future development of intelligence in IoT. To the best of authors’ knowledge, this is the first study to review the literature on AI powered IoT from 2009 to 2018. This is also the first literature review on AI powered IoT with a case study of smart public service in China.
The SIM program at Saint Louis University
Authors: Betker Brian , Doellman Thomas W. 
Published: June 2019

Purpose
The purpose of this paper is to describe the student investment management program at Saint Louis University.

Design/methodology/approach
It is a case study of the program’s structure and investment performance.

Findings
The authors present information on the program’s philosophy and course structure, investment performance and how the authors use LinkedIn to involve alumni in the program.

Originality/value
The authors find that using LinkedIn to maintain alumni connections to the program takes little effort on the part of the instructors but adds value for current students and program alumni alike.