State of the art in business analytics: themes and collaborations

In this study, we illustrate the most recent stage in the scholarly development of the field of Business Analytics. Using around 23,000 research publications collected from the Web of Science, we network-analyzed four types of dataset that include keywords, titles, institutions, and countries. It is noteworthy that we found a thematic cluster focusing on analytical techniques and tools, particular with the rapid dissemination of “big data”-related studies. It is not surprising that universities and institutions in advanced countries in the West still occupy the central position of the collaboration network. However, we can discern a global shift toward certain developing and transitional economies in the world science base.     

Natural resource rents and internal conflicts: Can decentralization lift the curse?

We study how natural resource rents affect the risk of internal conflict within countries and how the federal structure of countries influences this relationship. Natural resource abundance may induce excessive rent-seeking and thus increase the risk of internal conflict. Fiscal and political decentralization as an institutional arrangement for rent-sharing and political codetermination of regions within a country may limit the destructive effect of natural resource rents on internal stability. Using cross-country and panel data from more than 90 countries covering the period 1984–2004, we find evidence that natural resource rents indeed increase the risk of internal conflict, but this relationship is significantly mitigated by political decentralization.     

Investigating the link between managers' green knowledge and leadership style,and their firms' environmental performance: The mediation role of green creativity

Despite extensive literature on green hotel management and sustainability, scant attention has been given on the role of managers to solve environmental related issues. This study's aim is to assess the effects of managers' green knowledge and green transformational leadership on firms' environmental performance with the mediating effect of green creativity. The study analyzes the perceptions of 363 employees in different managerial positions of the hotel industry employing Partial Last Square Structural Equation Modeling. The findings of the study show a positive effect of green knowledge and green transformational leadership on green creativity and green transformational leadership on environmental performance. Furthermore, green creativity is also found to have significant mediating effect between green knowledge and environmental performance, and green transformational leadership and environmental performance relations. The main implication of the current research is that managers' green concerns might help the stakeholders in the hotel industry to respond through appropriate green initiatives for their organizations. Further suggestions for literature and practice are discussed.     

Modular Wavelet–Extreme Learning Machine: a New Approach for Forecasting Daily Rainfall

Water Resources Management - A rainfall forecasting method based on coupling wavelet analysis and a novel artificial neural network technique called extreme learning machine (ELM) is proposed. In...     

Forecasting UK consumer price inflation using inflation forecasts

The inflation rate is a key economic indicator for which forecasters are constantly seeking to improve the accuracy of predictions, so as to enable better macroeconomic decision making. Presented in this paper is a novel approach which seeks to exploit auxiliary information contained within inflation forecasts for developing a new and improved forecast for inflation by modeling with Multivariate Singular Spectrum Analysis (MSSA). Unlike other forecast combination techniques, the key feature of the proposed approach is its use of forecasts, i.e. data into the future, within the modeling process and extracting auxiliary information for generating a new and improved forecast. We consider real data on consumer price inflation in UK, obtained via the Office for National Statistics. A variety of parametric and nonparametric models are then used to generate univariate forecasts of inflation. Thereafter, the best univariate forecast is considered as auxiliary information within the MSSA model alongside historical data for UK consumer price inflation, and a new multivariate forecast is generated. We find compelling evidence which shows the benefits of the proposed approach at generating more accurate medium to long term inflation forecasts for UK in relation to the competing models. Finally, through the discussion, we also consider Google Trends forecasts for inflation within the proposed framework.     

Runoff Simulation Under Future Climate Change Conditions: Performance Comparison of Data-Mining Algorithms and Conceptual Models

Water Resources Management - Water resources in arid and semi-arid regions are susceptible to alteration in hydro-climatic variables, especially under climate change which makes runoff simulations...     

A Hybrid Fuzzy-Probabilistic Bargaining Approach for Multi-objective Optimization of Contamination Warning Sensors in Water Distribution Systems

Group Decision and Negotiation - Water Distribution System (WDS) are strategic infrastructures in all countries. In recent decades, several optimization-based frameworks have been developed to...     

Information technology and firm performance: mediation role of absorptive capacity and corporate entrepreneurship in manufacturing SMEs

ABSTRACT

The success of small and medium-sized enterprises (SMEs) depends on dynamic capabilities, as it provides opportunities to remain competitive and perform well in the dynamic business environment. Although several studies show the significant positive impacts of dynamic capabilities on firm performance, our knowledge of the underlying mechanism through which IT capabilities affect the firm performance is not yet clear. Applying the dynamic capability view, this study investigates the intervening role of absorptive capacity and corporate entrepreneurship. The data of 417 respondents is collected from medium-sized manufacturing sector SMEs in Punjab, Pakistan. The research hypotheses have been analysed through the structural equation modelling method by using the Smart-PLS software. The research findings show that absorptive capacity and corporate entrepreneurship partially mediates the relationship between IT capabilities and firm performance. Furthermore, the sequential path of IT technical skills, absorptive capacity, corporate entrepreneurship, and firm performance is highly significant as compared to other paths.     

Laypeople roles at road traffic crash scenes: a systematic review

This study aimed to identify the roles of laypeople at road traffic injuries (RTIs). A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The key words of ‘laypeople’, ‘layman’, ‘layperson’, ‘bystander’, ‘first responder’, ‘lay first responder’, ‘road traffic’, ‘road traffic injury’, ‘crash injury’, ‘crash scene’, ‘emergency’, ‘trauma care’, and ‘prehospital trauma care’ were used in combination with the Boolean operators OR and AND. We did electronic search on Google Scholar, PubMed, ISI Web of Science, CINAHL, Science Direct, Scopus, ProQuest. Based on the reviewed studies, some factors such as cultural conditions, knowledge, relief agencies, and demographic factors affect the interventions of laypeople at the crash scene in functional areas. Regarding the permanent presence of people at the crash scene, the present study can provide an opportunity to reduce different side effects of RTIs imposed on the society.     

Does stardom affect the informativeness of a CEO's insider trades?

This study examines whether the celebrity or star status of a chief executive officer (CEO) affects the informativeness of his insider trades. Using three different measures to identify star CEOs in a sample of S&P 1500 firms, we find that trades of non‐star CEOs predict future abnormal returns and earnings innovations and that trades of star CEOs do not. The predictive power of non‐star CEO trades is mostly attributable to opportunistic trades, not routine trades. We also find evidence suggesting that the abnormal returns associated with non‐star CEO insider trades are due to the lower visibility and consequently less scrutiny of non‐star CEOs compared with star CEOs.