bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementing social projects with undergraduate students: an analysis of essential characteristics
Authors: Rampasso Izabela Simon , Siqueira Renê Grottoli , Martins Vitor W.B. , Anholon Rosley , Quelhas Osvaldo Luiz Gonçalves , Leal Filho Walter , Lange Salvia Amanda , Santa-Eulalia Luis Antonio 
Published: September 2020

Purpose
This study aims to analyse the essential characteristics for the success of social projects developed with undergraduate students of higher education institutions (HEIs).

Design/methodology/approach
A case study was conducted to verify the main characteristics of projects in a social entrepreneurship initiative. These features were used to perform a survey with experts to understand which of these items are essential for social projects success, through Lawshe’s method.

Findings
Of the ten items evaluated, two were considered essential by the experts: “Proper alignment between project scope and actual local community needs” and “Good level of interaction between students participating in the project and the local community”.

Practical implications
These findings can be useful for professors and coordinators to prepare future projects in HEIs. They may also be advantageous for researchers who may use them as a starting point for future studies.

Originality/value
The novelty of this study is the methodological approach used: a case study of projects in a social entrepreneurship initiative in a relevant Brazilian university; and a Lawshe’s method analysis of responses of experts in social projects developed in HEIs. The findings can greatly contribute to the debates in this field. No similar research was found in the literature.
Characteristics of consulting firms associated with the diffusion of big data analytics
Authors: Oyewo Babajide , Ajibola Oluwafunmilayo , Ajape Mohammed 
Published: September 2020

PurposeThis study investigates the characteristics of business and management consulting firms (firm size, international affiliation and scope of operation) affecting the adoption rate (i.e. recency of adopting big data analytics (BDA) as a new idea) and usage level of BDA. Ten critical areas of BDA application to business and management consulting were investigated, (1) Human Resource Management; (2) Risk Management; (3) Financial Advisory Services; (4) Innovation and Strategy; (5) Brand Building and Product Positioning; (6) Market Research/Diagnostic Studies; (7) Scenario-Based Planning/Business Simulation; (8) Information Technology; (9) Internal Control/Internal Audit; and (10) Taxation and Tax Management.Design/methodology/approachSurvey data was obtained through a structured questionnaire from one hundred and eighteen (118) consultants in Nigeria from diverse consulting firm settings in terms of size, international affiliation and scope of operation (Big 4/non-Big 4 firms). Data was analyzed using descriptive statistics, cluster analysis, multivariate analysis of variance (MANOVA), multivariate discriminant analysis and multivariable logistic regression.FindingsWhereas organizational characteristics such as firm size, international affiliation and scope of operation significantly determine the adoption rate of BDA, two attributes (international affiliation and scope of operation) significantly explain BDA usage level. Internationally affiliated consulting firms are more likely to record higher usage level of BDA than local firms. Also, the usage level of BDA by the Big 4 accounting/consulting firms is expected to be higher in comparison to non-Big 4 firms.Practical implicationsContrary to common knowledge that firm size is positively associated with the adoption of an innovation, the study found no evidence to support this claim in respect of the diffusion of BDA. Overall, it appears that the scope of operation is the strongest organizational factor affecting the diffusion of BDA among consulting firms.Originality/valueThe study contributes to knowledge by exposing the factors promoting the uptake of BDA in a developing country. The originality of the current study stems from the consideration that it is the first, to the researchers' knowledge, to investigate the application of BDA by consulting firms in the Nigerian context. The study adds to literature on management accounting in the digital economy.
Developing a scale of social commerce service quality: an exploratory study
Authors: Jami Pour Mona , Ebrahimi Delavar Fateme , Taheri Ghazale , Kargaran Sanaz 
Published: September 2020

PurposeFollowing the emergence of Web 2.0 technologies, social commerce has been viewed as an inseparable part of today’s business environment. Social commerce is a recent version of e-commerce, which has rapidly become a new interesting field for both practitioners and academics. To improve social commerce success, managers should be aware of what encompasses social commerce quality, how consumers sense it and how it is assessed. Though, despite the importance of social commerce, designing of scales for measuring the social commerce quality has rarely been explored. Therefore, the purpose of this study is to develop a new scale for measuring the social commerce service quality comprehensively.Design/methodology/approachTo obtain the research objective, in the first step, a comprehensive literature review along with focus group discussions was conducted to theoretically conceptualize service quality dimensions and measures. Then, for evaluating the proposed scale via social commerce customers, the survey method was used. Finally, the verified measures were weighted and ranked using fuzzy analytic hierarchy process.FindingsThe findings showed that social commerce service quality is a hierarchical and multidimensional construct consisting of six key dimensions including information quality, social interaction quality, design quality, functional quality, social trust/security and social support.Research limitations/implicationsThe study results assist managers to improve the quality of social commerce services through increasing the awareness of customers’ perceptions and expectations concerning social service quality. They further help managers to understand systematically all dimensions of social commerce service quality, which may lead to reduce the risk of social commerce adaptation failure and consequently increase the customers’ satisfaction.Originality/valueThe role of service quality in acceptance and success of social commerce has been emphasized by many academics and practitioners. However, review of the previous literature shows that inadequate studies in this field have been conducted so far. The main contribution of this study is conceptualization and development of a validated scale for measuring the social commerce service quality. This scale provides a useful instrument for researchers who wish to measure the service quality of social commerce and for managers who want to improve the perceived quality of their services.
Impact of board structure, board activities and institutional investors on the firm risk: evidence from India
Authors: Chaudhary Pankaj 
Published: September 2020

PurposeStock return volatility is an important aspect of financial markets which requires specific attention of researchers. This study examines the impact of board structure, board activities and institutional investors on the stock return volatility of the Indian firms.Design/methodology/approachThe author had selected the non-financial companies of the National Stock Exchange (NSE), which form the part of the NSE 500 index. Regression models had been estimated using the system generalised method of moment (GMM) framework designed by Arellano and Bover (1995) and Blundell and Bond (1998) to deal with endogeneity concerns.FindingsThe author found that the stock return volatility was affected by the institutional investors, particularly pressure-insensitive (PI) investors. Moreover, this study supported the non-linear relationship between stock return volatility and institutional investors. Unlike developed world, the author found that the independent directors were positively associated with the stock return volatility.Research limitations/implicationsIt is important for the investors and regulators to understand that the behaviour of the institutional investors depends on its class and having more independent directors will not ensure containment of the stock return volatility as suggested in previous literature reviews.Originality/valueMost of the prior studies have used simple standard deviation (SD) to compute stock return volatility. In this study, besides SD, the author used the generalised autoregressive conditional heteroskedasticity (GARCH) model to compute the stock return volatility of the firms.
Positioning historical evidences in architectural education: review of methods and contents
Authors: Pasha Yasira Naeem , Adnan Shahla , Ahmed Noman 
Published: September 2020

Purpose
This paper aims to position the evidence in the history of architectural education, which has contributed to the development of architecture as a discipline. The paper focusses on the transformational stages of architectural education through history. It builds on considering its evolution from informal stages towards formal educational discipline and then standardization as a curriculum-based model in contemporary times.

Design/methodology/approach
The research adopts a qualitative approach focussing on epistemological interpretations through triangulation. The qualitative data includes two main categories; first, historical research and second, interviews and focussed group discussions. It then adopts the triangulation method for the analysis of data. The exploration positions historical pieces of evidence encompassing important factors involved in the process that directed the changes while suggesting the modes of training of architects. The interviews and focus groups provide a valuable addition to historical data for connecting it to contemporary times. Significant modes examined include master pupil, apprenticeship and curriculum-based model, in addition to several fundamental skill sets such as drawing, painting and sculptures that remained constant in this process.

Findings
The historical pieces of evidence inform that architectural education has been inclusive and considerate towards cultural concerns throughout its developmental stages untill the currently adopted curriculum-based model. It concludes that the development of architecture as a discipline in formal education has been influenced by methods of disseminating knowledge, contents incorporated for teaching architecture, deliberate inclusion of relevant knowledge areas such as arts and cultural integrations of societies.

Research limitations/implications
This research is limited to a structured study to explore and position pieces of evidence in the history of architectural education considering its methods and contents. While it signifies the role of culturally sensitive contents in the architectural curricula, the scope of this research is not to focus on the development of any new theory, model or postulate regarding the inclusion of some specific contents. The implications of this research aspire to the best use of methods and contents deeply rooted in the development of the discipline, of architectural curricula in the future. It suggests the negation of possible overlooking of such content in curricula.

Originality/value
The study signifies the core argument of the relevance of architectural education to social and cultural concerns as an important facet in the developmental stages in the history of the discipline. The exploration of pieces of evidence is significantly important to avoid the inadvertent overlooking of the culturally sensitive content in architectural education in the future development of architectural curricula that were included purposefully.
The state of business sustainability reporting in sub-Saharan Africa: an agenda for policy and practice
Authors: Tilt Carol A. , Qian Wei , Kuruppu Sanjaya , Dissanayake Dinithi 
Published: September 2020

Purpose
Developing countries experience their own social, political and environmental issues, but surprisingly limited papers have examined sustainability reporting in these regions, notably in sub-Saharan Africa. To fill this gap and understand the state of sustainability reporting in sub-Saharan Africa, this paper aims to investigate the current state of reporting, identifies the major motivations and barriers for reporting and suggests an agenda of future issues that need to be considered by firms, policymakers and academics.

Design/methodology/approach
This paper includes analysis of reporting practices in 48 sub-Saharan African countries using the lens of New Institutional Economics. It comprises three phases of data collection and analysis: presentation of overall reporting data collected and provided by Global Reporting Initiative (GRI). analysis of stand-alone sustainability reports using qualitative data analysis and interviews with key report producers.

Findings
The analysis identifies key issues that companies in selected sub-Saharan African countries are grappling within their contexts. There are significant barriers to reporting but institutional mechanisms, such as voluntary reporting frameworks, provide an important bridge between embedding informal norms and changes to regulatory requirements. These are important for the development of better governance and accountability mechanisms.

Research limitations/implications
Findings have important implications for policymakers and institutions such as GRI in terms of regulation, outreach and localised training. More broadly, global bodies such as GRI and IIRC in a developing country context may require more local knowledge and support. Limitations include limited data availability, particularly for interviews, which means that these results are preliminary and provide a basis for further work.

Practical implications
The findings of this paper contribute to the knowledge of sustainability reporting in this region, and provide some policy implications for firms, governments and regulators.

Originality/value
This paper is one of only a handful looking at the emerging phenomenon of sustainability reporting in sub-Saharan African countries.
Exploring the racial achievement gap on US history written-response state assessment items
Authors: Miller Jason Michael 
Published: September 2020

PurposeMany states are restructuring their US history state assessments to include written-response assessment items that evaluate students' literacy skills in high-stakes environments. The purpose of this study was to investigate how the addition of an extended-response item to a US history state assessment was associated with an increase in the racial achievement gap.Design/methodology/approachThe theoretical framework included linguistic complexity of standardized assessment items and academic language demand and utilized a difference-in-difference research design.FindingsThe findings indicate that the achievement gap between students of color and White students increased when an extended-response assessment item was added to an exclusively multiple-choice item exam and that this increase in the achievement gap may be contributed to a literacy gap.Research limitations/implicationsThe continued investigation of how students of color perform on different types of extended-response standardized assessment items. And, the continued investigation of evidenced-based instructional practices that focus on developing students' literacy skills in US history as well as culturally responsive instructional practices.Practical implicationsThe knowledge and implementation of literacy instruction and culturally responsive instruction in US history classrooms as well as in preservice teacher education programs and in-service professional development programs.Originality/valueThe current study is one of the first large-scale investigations into the racial achievement gap on US history written-response standardized assessment items and in identifying a literacy gap between students of color and White students on US history written-response state assessment items.
Passive seismic data primary estimation and noise removal via focal‐denoising closed‐loop surface‐related multiple elimination based on 3D L1‐norm sparse inversion
Authors: Wang Tiexing , Wang Deli , Sun Jing , Hu Bin 
Published: September 2020

ABSTRACTPassive seismic has recently attracted a great deal of attention because non‐artificial source is used in subsurface imaging. The utilization of passive source is low cost compared with artificial‐source exploration. In general, constructing virtual shot gathers by using cross‐correlation is a preliminary step in passive seismic data processing, which provides the basis for applying conventional seismic processing methods. However, the subsurface structure is not uniformly illuminated by passive sources, which leads to that the ray path of passive seismic does not fit the hyperbolic hypothesis. Thereby, travel time is incorrect in the virtual shot gathers. Besides, the cross‐correlation results are contaminated by incoherent noise since the passive sources are always natural. Such noise is kinematically similar to seismic events and challenging to be attenuated, which will inevitably reduce the accuracy in the subsequent process. Although primary estimation for transient‐source seismic data has already been proposed, it is not feasible to noise‐source seismic data due to the incoherent noise. To overcome the above problems, we proposed to combine focal transform and local similarity into a highly integrated operator and then added it into the closed‐loop surface‐related multiple elimination based on the 3D L1‐norm sparse inversion framework. Results proved that the method was capable of reliably estimating noise‐free primaries and correcting travel time at far offsets for a foresaid virtual shot gathers in a simultaneous closed‐loop inversion manner.
Beetle pollination of Luisia teres (Orchidaceae) and implications of a geographic divergence in the pollination system
Authors: Sugiura Naoto , Matsumura Shun'ichi , Yokota Masatsugu 
Published: September 2020

AbstractThe epiphytic orchid Luisia teres on Okinawa Island, the Ryukyus, Japan, sexually attracts male Protaetia beetles for pollination through floral scent. Here, the pollination system of L. teres on the Satsuma Peninsula, Kyushu, located approximately 600 km north of Okinawa Island, is reported. The inconspicuous flowers depend on the Cetoniinae beetles Protaetia orientalis submarumorea and Pseudotorynorrhina japonica, which both usually feed on fermented sap/ripe fruits, for pollination. The flower‐visiting P. orientalis submarumorea beetles included both males and females, and pseudocopulation was never observed. Pollinaria removal and pollination were achieved while beetles fed on floral nectar. Although P. orientalis submarumorea did not necessarily remove pollinaria more frequently than Ps. japonica, the pollinaria attached precisely to the central part of their clypeus, unlike on Ps. japonica. Our findings suggest that a geographic divergence in the pollination system occurs in Japanese L. teres. In the Ryukyus, the orchid adopts a specialized pollination system with only male‐attractive olfactory stimuli, whereas in Kyushu it has a relatively more generalized system based on only a food reward.
A comprehensive system for semantic spatiotemporal assessment of risk in urban areas
Authors: Coletti Alex , De Nicola Antonio , Di Pietro Antonio , La Porta Luigi , Pollino Maurizio , Rosato Vittorio , Vicoli Giordano , Villani Maria Luisa 
Published: September 2020

AbstractRisk assessment of urban areas aims at limiting the impact of harmful events by increasing awareness of their possible consequences. Qualitative risk assessment allows to figure out possible risk situations and to prioritize them, whereas quantitative risk assessment is devoted to measuring risks from data, in order to improve preparedness in case of crisis situations. We propose an automatic approach to comprehensive risk assessment. This leverages on a semantic and spatiotemporal representation of knowledge of the urban area and relies on a software system including: a knowledge base; two components for quantitative and qualitative risk assessments, respectively; and a WebGIS interface. The knowledge base consists of the TERMINUS domain ontology, to represent urban knowledge, and of a geo‐referenced database, including geographical, environmental and urban data as well as temporal data related to the levels of operation of city services. CIPcast DSS is the component devoted to quantitative risk assessment, and WS‐CREAM is the component supporting qualitative risk assessment based on computational creativity techniques. Two case studies concerning the city of Rome (Italy) show how this approach can be used in a real scenario for crisis preparedness. Finally, we discuss issues related to plausibility of risks and objectivity of their assessment.
Using deep learning and social network analysis to understand and manage extreme flooding
Authors: Romascanu Andrei , Ker Hannah , Sieber Renee , Greenidge Sarah , Lumley Sam , Bush Drew , Morgan Stefan , Zhao Rosie , Brunila Mikael 
Published: September 2020

AbstractCombining machine learning with social network analysis (SNA) can leverage vast amounts of social media data to better respond to crises. We present a case study using Twitter data from the March 2019 Nebraska floods in the United States, which caused over $1 billion in damage in the state and widespread evacuations of residents. We use a subset of machine learning, deep learning (DL), to classify text content of 11,982 tweets, and we integrate that with SNA to understand the structure of tweet interactions. Our DL approach pre‐trains our model with a DL language technique, BERT, and then trains the model using the standard training dataset to sort a dataset of tweets into classes tailored to crisis events. Several performance measures demonstrate that our two‐tiered trained model improves domain adaptation and generalization across different extreme weather event types. This approach identifies the role of Twitter during the damage containment stage of the flood. Our SNA identifies accounts that function as primary sources of information on Twitter. Together, these two approaches help crisis managers filter large volumes of data and overcome challenges faced by simple statistical models and other computational techniques to provide useful information during crises like flooding.
Data‐driven model for river flood forecasting based on a Bayesian network approach
Authors: Boutkhamouine Brahim , Roux Hélène , Pérés François 
Published: September 2020

AbstractUncertainty analysis of hydrological models often requires a large number of model runs, which can be time consuming and computationally intensive. In order to reduce the number of runs required for uncertainty prediction, Bayesian networks (BNs) are used to graphically represent conditional probability dependence between the set of variables characterizing a flood event. Bayesian networks (BNs) are relevant due to their capacity to handle uncertainty, combine statistical data and expertise and introduce evidences in real‐time flood forecasting. In the present study, a runoff–runoff model is considered. The discharge at a gauging station located is estimated at the outlet of a basin catchment based on discharge measurements at the gauging stations upstream. The BN model shows good performances in estimating the discharges at the basin outlet. Another application of the BN model is to be used as a reverse method. Knowing discharges values at the outlet of the basin, we can propagate back these values through the model to estimate discharges at upstream stations. This turns out to be a practical method to fill the missing data in streamflow records which are critical to the sustainable management of water and the development of hydrological models.