bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physicians’ attitude towards direct to consumer advertising of pharmaceutical drugs
Authors: Siddiqi Arslan Ahmad , Shah Syed Zulfiqar Ali 
Published: April 2017

Purpose
Pharmaceutical marketers and manufactures create hype of demand among patients towards a specific brand of drug or disease through drug advertisements. It induces the patients to seek additional information of the brand and ask for its prescription generation by the physician. The paper aims to determine the attitude of the physicians towards direct to consumer advertising (DTCA) and to examine the extent of patients’ request for a specific brand which leads to actual prescription generation.

Design/methodology/approach
Quantitative study, data was collected from field setting general practicing Doctors/Physicians in the leading hospitals. Quantitative data was collected from physicians working in leading hospitals. Doctors were selected on judgmental basis with high patient turnover. Sample size consists of 250 doctors, and questionnaire were adopted from two authors. Attitude of physicians towards DTCA and information inquired by the patient are two independent variables, whereas prescription generation by the physicians is dependent variable. SPSS was tool for data analysis.

Findings
Physicians have positive attitude towards DTCA and information provision to patient and consider it supplementary in overall health-care system. Advertising induces patients to visit physician and seek appropriate treatment and get induced to ask for further information.

Research limitations/implications
Time and resources were limited.

Practical implications
First, it contributes towards knowledge, second, it shows the importance of DTCA and its impact on prescription generation and, third, it will help in devising drug advertising policy.

Social implications
Highlights the issue are of not only misuse of drugs but also malpractice of drug prescription.

Originality/value
First, it explores the impact of the attitude of physicians along with the patients’ request on prescription generation behaviour. Second, it examines the impact of inquiring additional information about specific brand from the physician that might lead to the prescription generation. Finally, there is no study from the developing countries like Pakistan.
Information literacy literature in the social sciences and humanities: a bibliometric study
Authors: Bhardwaj Raj Kumar 
Published: April 2017

PurposeThis paper aims to map information literacy literature in social sciences and humanities published during the period of 2001-2012.Design/methodology/approachThe data for the study are obtained from Scopus, accessible atwww.scopus.com. Study used the Transformative Activity Index (TAI) and relative citation impact (RCI) to know the impact of most productive countries and prolific institutions. The SCImago Journal and Country Rank accessible atwww.scimagojr.com/was used to determine the SCImago Journal Rank and source normalized impact per paper.FindingsThe study found that 1990 documents originating from 79 countries were published in this study area. These papers are published in 160 journals with an average ∼12.51 papers per journal. These papers have been cited 10,025 times with ∼5.0. average citations per publication. Study also found that information literacy literature is published in 16 languages and the majority of the papers are in English, 1,879 (94.4 per cent). The highest growth of publications (106.7 per cent) was found in 2005. The USA contributed the highest number, 1,035 (52 per cent) papers. Moreover, of the 15 most productive countries, three recorded TAIs >100, and 12 countries recorded TAIs <100. In all, 160 institutions worldwide have contributed in information literacy research. Study also found that maximum literature published on the subject by a single author is 828 (41.6 per cent). Universidad de Granada, Granada, Spain has produced the highest number of papers (24, or 1.2 per cent) and received 61 (0.6 per cent) citations, while University of Strathclyde has the highest RCI (∼2.7) for its publications. Pintos, María from Universidad de Granada has published the maximum number of papers (18) that have been cited 78 times.Social implicationsThe study endeavors to showcase information literacy research outcomes in social sciences and humanities. It involves quantitative analysis of the literature in this domain using bibliographic elements such as keywords, authors, affiliation, publication and citations.Originality/valueNo study has been conducted so far to map the information literacy literature in social sciences and humanities. Study will be useful in understanding the progress on information literacy in the area of social sciences and humanities. The study is significant for social scientists to foster further research in this emerging area.
Antecedents of customer satisfaction in mobile commerce
Authors: Marinkovic Veljko , Kalinic Zoran 
Published: April 2017

Purpose
The purpose of this paper is to determine statistically significant drivers of customer satisfaction in mobile commerce and to test the moderating effects of customization on the relationships between customer satisfaction and its predictors.

Design/methodology/approach
The sample comprised 224 respondents. Confirmatory factor analysis was used to test the validity of the model, and moderated regression analysis was applied to determine main and interaction effects.

Findings
Trust, perceived usefulness, mobility, and perceived enjoyment were found to be significant drivers of customer satisfaction. The results also indicate the statistical significance of two interaction effects: customization moderates the influence of mobility and the influence of trust on customer satisfaction.

Research limitations/implications
The study was conducted in a single time period and in a developing country where m-commerce is still not widely used. Future models should include new variables. Comparison between different age or gender groups would also be useful.

Practical implications
The findings are useful for m-commerce providers who are developing marketing campaigns, where the focus should be on promoting the mobility aspect of m-commerce, in particular its usefulness to consumers and its security. M-commerce activities should be developed and redesigned to better meet consumers’ specific demands and needs.

Originality/value
M-commerce customer satisfaction studies are rare. The developed model has five potential antecedents of satisfaction: trust, social influence, perceived usefulness, mobility, and perceived enjoyment. New insights are provided into the moderating role of customization.
Inquisitiveness: distributing rational thinking
Authors: Bardone Emanuele , Secchi Davide 
Published: April 2017

Purpose
This study aims at redefining bounded rationality on the basis of a more socialized view of the individual. In doing so, it introduces “inquisitiveness” as a key disposition that some team members use to assemble and integrate knowledge when solving problems.

Design/methodology/approach
Using an agent-based computational simulation, this research models different simulated employees working together in “ad hoc” teams to solve problems.

Findings
Results show that inquisitiveness may work as an efficiency “driver” that, when present, economizes on the knowledge needed by team members to solve problems. In addition to that, results also show that environments with many problems are more suitable for inquisitive individuals to be effective.

Originality/value
Following the late Herbert Simon, the paper takes the stance that rationality should be redefined as a socially oriented process and introduces inquisitiveness as one – although probably not the only one – of the characteristics that help individuals and teams to make rational decisions.
Agent-based mechanism design – investigating bounded rationality concepts in a budgeting context
Authors: Lorscheid Iris , Meyer Matthias 
Published: April 2017

Purpose
This study aims to demonstrate how agent-based simulation (ABS) may provide a computational testbed for mechanism design using concepts of bounded rationality (BR). ABS can be used to systematically derive and formalize different models of BR. This allows us to identify the cognitive preconditions for behavior intended by the mechanism and thereby to derive implications for the design of mechanisms.

Design/methodology/approach
Based on an analysis of the requirements of the decision context, the authors describe a systematic way of incorporating different BR concepts into an agent learning model. The approach is illustrated by analyzing an incentive scheme suggested for truthful reporting in budgeting contexts, which is an adapted Groves mechanism scheme.

Findings
The study describes systematic ways in which to derive BR agents for research questions where behavioral aspects might matter. The authors show that BR concepts may lead to other outcomes than the intended truth-inducing effect. A modification of the mechanism to more distinguishable levels of payments improves the results in terms of the intended effect.

Research limitations/implications
The presented BR concepts as simulated by agent models cannot model human behavior in its full complexity. The simplification of complex human behavior is a useful analytical construct for the controlled analysis of a few aspects and an understanding of the potential consequences of those aspects of human behavior for mechanism design.

Originality/value
The paper specifies the idea of a computational testbed for mechanism design based on BR concepts. Beyond this, a systematic and stepwise approach is shown to formalize bounded rational behavior by agents based on a requirements analysis, including benchmark models for the comparison and evaluation of BR concepts.
A model of innovation and knowledge development among boundedly rational rival firms
Authors: Boari Cristina , Fioretti Guido , Odorici Vincenza 
Published: April 2017

PurposeThe purpose of this paper is to explore the significance of bounded rationality for innovation research. It does so by expounding the structure and the assumptions of an agent-based model where boundedly rational actors engage in knowledge development and imitation. It is a conceptual paper that illustrates the model but does not present its results.Design/methodology/approachThis model explores the consequences of common theoretical hypotheses and empirical stylized facts regarding innovation, knowledge development and knowledge management by geographically clustered rival firms. This model artificially generates innovations, unknown and unexpected to the artificial decision-makers. As the set of possibilities is not known a priori to the agents, they cannot apply utility maximization. Bounded rationality enters this model both as behavioural rules of thumb and as cognitive constraints on their application.FindingsThis paper illustrates a model.Originality/valueThis paper links innovation studies to the concept of bounded rationality. It shows what problems must be faced and what issues must be addressed by an agent-based model on this subject.
Equity-constrained dispatching models for emergency medical services
Authors: V.K. Sreekanth , Roy Ram Babu 
Published: April 2017

Purpose
The purpose of this paper is to apply agent-based modeling and simulation concepts in evaluating different approaches to solve ambulance-dispatching decision problems under bounded rationality. The paper investigates the effect of over-responding, i.e. dispatching ambulances even for doubtful high-risk patients, on the performance of equity constrained emergency medical services.

Design/methodology/approach
Agent-based modeling and simulation was used to evaluate two different dispatching policies: first, a policy based on maximum reward, and second, a policy based on the Markov decision process formulation. Four equity constraints were used: two from the patients’ side and two from the providers’ side.

Findings
The Markov decision process formulation, solved using value iteration method, performed better than the maximum reward method in terms of number of patients served. As the equity constraints conflict with each other, at most three equity constraints could be enforced at a time. The study revealed that it is safe to over-respond if there is uncertainty in the risk level of the patients.

Research limitations/implications
Further research is required to understand the implications of under-responding, where doubtful high-risk patients are denied an ambulance service.

Practical implications
The need for good triage system is apparent as over-responding badly affects the operational budget. The model can be used for evaluating various dispatching policy decisions.

Social implications
Emergency medical services have to ensure efficient and equitable provision of services, from the perception of both patients and service providers.

Originality/value
The paper applies agent-based modeling to equity constrained emergency medical services and highlights findings that are not reported in the existing literature.
Basement structural architecture and hydrocarbon conduit potential of polygonal faults in the Cooper‐Eromanga Basin, Australia
Authors: Kulikowski David , Amrouch Khalid , Cooke Dennis , Gray Michael Edward 
Published: April 2017

ABSTRACTA thorough and complete understanding of the structural geology and evolution of the Cooper‐Eromanga Basin has been hampered by low‐resolution seismic data that becomes particularly difficult to interpret below the thick Permian coal measures. As a result, researchers are tentative to interpret the basement fault architecture within the basin, which is largely undefined. To provide a better understanding of the basement fault geometry, all available two‐dimensional seismic lines together with 12 three‐dimensional seismic surveys were structurally interpreted with assistance from seismic attribute analysis. The Upper Cretaceous Cadna‐owie Formation and top Permian reflectors were analysed using a common seismic attribute technique (incoherency) that was used to infer the presence of faults that may have otherwise been overlooked. Detailed basement fault maps for each seismic survey were constructed and used in conjunction with two‐dimensional seismic data interpretation to produce a regional basement fault map. Large north‐northeast–south‐southwest‐striking sinistral strike–slip faults were identified within the Patchawarra Trough appearing to splay from the main northeast–southwest‐striking ridge. These sinistral north‐northeast–south‐southwest‐striking faults, together with field‐scale southeast–northwest‐striking dextral strike–slip faults, are optimally oriented to have potentially developed as a conjugated fault set under a south‐southeast–north‐northwest‐oriented strike–slip stress regime. Geomechanical modelling for a regionally extensive system of Cretaceous polygonal faults was performed to calculate the Leakage Factor and Dilation Tendency of individual faults. Faults that extend into Lower Cretaceous oil‐rich reservoirs with strikes of between 060°N and 140°N and a high to near‐vertical dip angle were identified to most likely be acting as conduits for the tertiary migration of hydrocarbons from known Lower Cretaceous hydrocarbon reservoirs into shallow Cretaceous sediments. This research provides valuable information on the regional basement fault architecture and a more detailed exploration target for the Cooper‐Eromanga Basin, which were previously not available in literature.
Comparing the performances of four stochastic optimisation methods using analytic objective functions, 1D elastic full‐waveform inversion, and residual static computation
Authors: Sajeva Angelo , Aleardi Mattia , Galuzzi Bruno , Stucchi Eusebio , Spadavecchia Emmanuel , Mazzotti Alfredo 
Published: April 2017

ABSTRACTWe compare the performances of four stochastic optimisation methods using four analytic objective functions and two highly non‐linear geophysical optimisation problems: one‐dimensional elastic full‐waveform inversion and residual static computation. The four methods we consider, namely, adaptive simulated annealing, genetic algorithm, neighbourhood algorithm, and particle swarm optimisation, are frequently employed for solving geophysical inverse problems. Because geophysical optimisations typically involve many unknown model parameters, we are particularly interested in comparing the performances of these stochastic methods as the number of unknown parameters increases. The four analytic functions we choose simulate common types of objective functions encountered in solving geophysical optimisations: a convex function, two multi‐minima functions that differ in the distribution of minima, and a nearly flat function. Similar to the analytic tests, the two seismic optimisation problems we analyse are characterised by very different objective functions. The first problem is a one‐dimensional elastic full‐waveform inversion, which is strongly ill‐conditioned and exhibits a nearly flat objective function, with a valley of minima extended along the density direction. The second problem is the residual static computation, which is characterised by a multi‐minima objective function produced by the so‐called cycle‐skipping phenomenon. According to the tests on the analytic functions and on the seismic data, genetic algorithm generally displays the best scaling with the number of parameters. It encounters problems only in the case of irregular distribution of minima, that is, when the global minimum is at the border of the search space and a number of important local minima are distant from the global minimum. The adaptive simulated annealing method is often the best‐performing method for low‐dimensional model spaces, but its performance worsens as the number of unknowns increases. The particle swarm optimisation is effective in finding the global minimum in the case of low‐dimensional model spaces with few local minima or in the case of a narrow flat valley. Finally, the neighbourhood algorithm method is competitive with the other methods only for low‐dimensional model spaces; its performance sensibly worsens in the case of multi‐minima objective functions.
Negative effects of pesticides under global warming can be counteracted by a higher degradation rate and thermal adaptation
Authors: Op de Beeck Lin , Verheyen Julie , Olsen Kent , Stoks Robby 
Published: April 2017

Summary

An alarming finding for biodiversity is that global warming and pesticides often interact synergistically. Yet, this synergism may not capture the full picture because two counteracting processes may reduce the higher impact of pesticides under warming: higher pesticide degradation in the environment and thermal adaptation of populations.

We tested for the effects of warming and multiple pulses of the insecticide chlorpyrifos on life history and fitness‐related physiological traits in the damselfly Ischnura elegans. To assess whether thermal adaptation is able to mitigate the impact of the pesticide under future warming, we exposed replicated populations from a colder, high latitude and from a warmer, low latitude in a common garden rearing experiment at 20 and 24 °C (the respective mean summer water temperatures at both latitudes).

At the higher temperature pesticide degradation was higher, leading to less accumulation after multiple pulses compared to the lower temperature. Accordingly, the pesticide caused less mortality and less oxidative damage at the higher temperature. This contradicts the general belief (based on studies that kept pesticide concentrations constant) of a higher impact of pesticides under warming. Furthermore, the reduction of the impact of the pesticide at the higher temperature was more pronounced in the warm‐adapted low‐latitude populations, indicating a counteracting role of thermal adaptation.

Policy implications. Our findings provide proof‐of‐principle for two key insights that will allow improving ecological risk assessment of pesticides under global warming: (i) higher pesticide degradation in the environment under warming may temper the impact of multiple pesticide pulses; (ii) gradual thermal evolution may further reduce the impact of pesticides at high latitudes under global warming. This knowledge can be very important for policy makers to arrive at a more realistic forecasting of the impacts of chemical pollution and climate change interactions on organisms.
Novel ‘CandidatusLiberibacter’ species identified in the Australian eggplant psyllid,Acizzia solanicola
Authors: Morris Jacqueline , Shiller Jason , Mann Rachel , Smith Grant , Yen Alan , Rodoni Brendan 
Published: April 2017

SummaryA novel candidate species of the liberibacter genus, ‘CandidatusLiberibacter brunswickensis’ (CLbr), was identified in the Australian eggplant psyllid,Acizzia solanicola. This is the first discovery of a species belonging to the liberibacter genus in Australia and the first report of a liberibacter species in the psyllid genusAcizzia. This new candidate liberibacter species has not been associated with plant disease, unlike other psyllid‐vectored species in the genus including ‘Candidatus Liberibacter asiaticus’ (CLas), ‘CandidatusLiberibacter africanus’ (CLaf) and ‘Ca. Liberibacter solanacearum’ (CLso). This study describes novel generic liberibacter genus primers, used to screen Australian psyllids for the presence of microflora that may confound diagnosis of exotic pathogens.CLbr forms a unique clade in the liberibacter genus based on phylogenetic analysis of the 16S ribosomal ribonucleic acid (rRNA) region and multilocus sequence analysis (MLSA) of seven highly conserved genes,dnaG,gyrB,mutS,nusG,rplA,rpoBandtufB. TheMLSAmapping approach described in this article was able to discriminate between two ‘Ca. Liberibacter’ species within a metagenomic data set and represents a novel approach to detecting and differentiating unculturable species of liberibacter. Further,CLbr can confound the Liet al. (2006) quantitativePCR(qPCR) diagnostic tests forCLas andCLaf.
Unintended Consequences of Forecast Disaggregation: A Multi‐Period Perspective
Authors: Dong Lei , Lui Gladie , Wong‐On‐Wing Bernard 
Published: April 2017

AbstractPrior research finds that investors respond more favorably to a disaggregated earnings forecast than to an aggregated one. The present study examines whether this initial favorable effect on investors’ decisions leads to investors giving management the benefit of the doubt, or backfires in the event of a subsequent earnings surprise announcement. The results of our experiment indicate a “backfire effect” consistent with Expectation Violation Theory. We find that investors’ negative reactions to an earnings surprise are stronger if they first observed a disaggregated forecast than if they first saw an aggregated forecast. The largest downward adjustment in investment interest occurs when the disaggregated forecast is later found to be overstated. This study provides evidence of the complexity of the effect of disaggregated earnings forecast and adds to the literature concerning the costs and benefits of accounting information disaggregation.