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The purpose of the study is to implement a methodology intended to identify the links between the microclimatic quality of urban routes and the behavior of pedestrians. This document will open up new opportunities for the development of urban open spaces and facilitate decision-making for urban decision-makers.

The methodology intended to identify the links between the microclimatic quality of urban routes and the behavior of pedestrians is deployed in two stages. The first stage represents a microclimatic characterization of the pedestrian routes. The second step represents a behavioral characterization of these same journeys, based on the on-site video observation of the pedestrians.

The analysis of the results obtained by applying this method shows that the physical factors of the urban environment in the two climatic seasons (winter, summer) significantly influence the choice of routes, the percentage of route use, the speed of travel and the frequency of user stops.

The authors have recently observed that the issue of the influence of microclimatic factors on the behavior of pedestrians, and more particularly their movements, has only rarely been addressed. It is therefore in this context that the authors would like to provide, through this article, some technical solutions for analysis and characterization as well as some answers to the problem of the influence of microclimatic factors on pedestrian movements.

The purpose of this paper is to reveal the impact of the e-tailers’ product variety decisions on their logistics service quality (LSQ) in B2C e-marketplaces. Furthermore, it investigates the mediation of transaction intensity and the moderation of the perceived technical quality in this relationship.

The data were collected from one of Turkey’s biggest e-marketplace firms, N11.com. Consumer evaluations and the e-tailers’ product offers were used to operationalize research variables. Structural equation modeling was used to test the research hypotheses.

Product variety increases the sales of e-tailers but negatively affects their LSQ. This negative effect does not stem from the operational complexity resulting from increased sales; on the contrary, transaction intensity actually suppresses the negative effect of product variety on LSQ. This study additionally reveals that the perceived technical quality weakens the negative impact of product variety on LSQ.

The intense competition in e-marketplaces makes LSQ a key competitive factor, highlighting the importance of revealing its determinants. Although the negative effect of product variety on operational performance has been revealed in manufacturing and physical retailing environments, it has been under-investigated in online retailing. Drawing on a knowledge-based view, this study reveals how product variety decreases LSQ in the online context despite its unique features (i.e. temporal and spatial separation). Moreover, by demonstrating that the delivered product’s instrumental performance affects the perceived LSQ, it reveals that technical quality and functional quality are not disjoint components in online purchases.

The purpose of this paper is to propose a four‐level hierarchy model for multimedia documents representation to be used during the dynamic scheduling and altering of multimedia contents.

The four‐level hierarchy model (object, operation, timing, and precedence), offers a fine‐grain representation of multimedia contents and is embedded within a research tool, which is called WEBCAP. WEBCAP utilizes the four‐level hierarchy to synchronize the retrieval of objects in the multimedia document employing Allen's temporal relations, and then applies the Bellman‐Ford's algorithm on the precedence graph to schedule all operations (fetch, transmit, process, and render), while satisfying the in‐time updating and all web workload's resources constraints.

The experimental results demonstrate the effectiveness of the model in scheduling the periodical updating multimedia documents while considering a variety of workloads on web/TCP.

WEBCAP should be enhanced to automatically measure and/or approximate the available bandwidth of the system using sophisticated measurement of end‐to‐end connectivity. In addition, WEBCAP should be expanded and enhanced to examine system infrastructure for more real‐time applications, such as tele‐medicine and e‐learning.

WEBCAP can be used as an XML markup language for describing multimedia presentations. It can be used to create online presentations similar to PowerPoint on desktop environment, or used as an interactive e‐learning tool. An HTML browser may use a WEBCAP plug‐in to display a WEBCAP document embedded in an HTML/XML page.

This paper proposed a dynamic scheduling of multimedia documents with frequent updates taking into consideration the network's workload to reduce the packet lost ratio in the TCP flow, especially in the early stages. WEBCAP can be used to guide distributed systems designers/managers to schedule or tune their resources for optimal or near optimal performance, subject to minimizing the cost of document retrieval while satisfying the in time constraints.

Heat sealable barrier foil packaging for corrosion‐free storage. Abbott's Packaging Ltd., New Soutgate, London N11, has joined the growing list of packaging specialists offering SEET moisture and gas resistant barrier foils. The material is Ministry of Defence approved and offers high performance protection against adverse atmospheric effects on valuable equipment or hygroscopic products such as chemicals, cosmetics, pharmaceuticals and food.

This paper aims to examine whether the volatility of returns in commodity (gold, oil), bond and forex markets is related over time to the volatility of returns in equity markets of Bangladesh, Indonesia, Pakistan, Philippines, Turkey and Vietnam. In addition, the authors analyze the integration of the commodity, bond, forex and equity markets across these markets.

The dynamic conditional correlation GARCH (DCC-GARCH) model is used to capture the time-varying conditional correlation among markets. The authors use daily data of stock prices, oil prices, gold prices, exchange rates and 10 years' bond yields of the six countries from Datastream and investing.com from January 2001 to April 2021.

Findings reveal that the parameters of dynamic correlation are statistically significant which indicates the importance of time-varying co-movements. Estimation of the DCC-GARCH model suggests that the stock market is significantly correlated with bond, forex, gold and oil markets in all six countries.

This study has practical implications for policymakers and investment professionals. A better understanding of dynamic linkages among the markets would help in constructing effective hedging and portfolio diversification strategies. Policy makers can get insight to build proper strategies in order to insulate the economy from factors that cause volatility.

Several studies have investigated the linkage between commodity and stock markets and the volatility spillover effect, but very little attention is given to study the interrelationship between groups of market segments of different economies. No study has comparatively examined the dynamic relationship of multiple markets of a group of emerging countries simultaneously.

This paper aims to shed light on how offshore wind park business networks can orchestrate dynamic capabilities to enable innovation for the competitive advantage of renewable offshore wind energy.

The research is based on a qualitative multiple-case study of operation and maintenance activities in offshore wind parks, starting in June 2014 with a pilot qualitative case study and the main qualitative multiple-case research conducted via in-depth interviews with 20 enterprises. The preliminary findings were presented for the qualitative triangulation of comments in a seminar in May 2015.

The findings explain the need for collaboration across the business network through the use of an open innovation platform for orchestrating dynamic signature capabilities in combination with ordinary capabilities. Both locally distributed leadership and central leadership in knowledge creation are necessary ingredients. The model developed from the research findings shows the need to change the competitive advantage criteria within business networks to VRIS (valuable, rare, imitable, substitutable) in contrast to the traditional criteria for individual enterprises of VRIN (valuable, rare, imperfectly imitable, non-substitutable).

The research is focused on offshore wind park business networks, and therefore, the generalizability of this qualitative case study to other contexts can be limited. Further research is thus needed to verify the findings.

A three-fold contribution is made to the understanding of the integrated combination of orchestrating dynamic capabilities in the offshore wind energy sector. Business networks, academia and policy bodies are given a model for enacting the competitive advantage of renewable offshore wind energy for the benefit of society.

Purpose – This chapter aimed to investigate hedge funds market risk. One aims to go further the traditional measures of risk that underestimates it by introducing a more appropriate method to hedge funds. One demonstrates that daily hedge fund return distributions are asymmetric and leptokurtic. Furthermore, volatility clustering phenomenon and the existence of ARCH effects demonstrate that hedge funds volatility varies through time. These features suggest the modelisation of their volatility using symmetric (GARCH) and asymmetric (EGARCH and TGARCH) models used to evaluate a 1-day-ahead value at risk (VaR).

Methodology/Approach – The conditional variances were estimated under the assumption that residuals t follow the normal and the student law. The knowledge of the conditional variance was used to forecast 1-day-ahead VaR. The estimations are compared with the Gaussian, the student and the modified VaR. To sum up, 12 VaRs are computed; those based on standard deviation and computed with normal, student and cornish fisher quantile and those based on conditional volatility models (GARCH, TGARCH and EGARCH) computed with the same quantiles.

Findings – The results demonstrate that VaR models based on normal quantile underestimate risk while those based on student and cornish fisher quantiles seem to be more relevant measurements. GARCH-type VaRs are very sensitive to changes in the return process. Back-testing results show that the choice of the model used to forecast volatility has an importance. Indeed, the VaR based on standard deviation is not relevant to measure hedge funds risks as it fails the appropriate tests. On the opposite side, GARCH-, TGARCH- and EGARCH-type VaRs are accurate as they pass most of the time successfully the back-testing tests. But, the quantile used has a more significant impact on the relevance of the VaR models considered. GARCH-type VaR computed with the student and especially cornish fisher quantiles lead to better results, which is consistent with Monteiro (2004) and Pochon and Teïletche (2006).

Originality/Value of chapter – A large set of GARCH-type models are considered to estimate hedge funds volatility leading to numerous evaluation of VaRs. These estimations are very helpful. Indeed, public savings under institutional investors management then delegate to hedge funds are concerned. Therefore, an adequate risk management is required. Another contribution of this chapter is the use of daily data to measure all hedge fund strategies risks.

The purpose of this study is to explore open data portals as data literacy learning environments. The authors examined the obstacles faced and strategies used by university students as non-expert open data portal users with different levels of data literacy, to inform the design of portals intended to scaffold informal and situated learning.

The authors conducted an observational user study, in which 14 student participants grouped by self-reported data literacy measures carried out assigned tasks in an open data portal. Data were collected through screen capture, think-aloud protocols and post-session interviews.

Participants experienced numerous challenges in finding and using data, with some variation shown between the different literacy groups. The higher data literacy group primarily faced challenges using unfamiliar tools, which may be addressed by improving system usability, while the lower data literacy group struggled due to gaps in basic understanding, which may be addressed by increasing point of need instruction and guidance. Participants used several learning strategies but primarily relied upon trial and error, which was less effective for low data literacy users.

This study is unique in comparing open data portal use among adult students across data literacy levels through an empirical user study. It contributes methodologically by proposing an instrument for data literacy assessment. It offers a novel perspective on information systems as sites for informal learning and skills development, beyond the immediate goals of system use, and offers concrete suggestions for the future design of open data portals for students and non-expert, citizen users.

This study aimed the synthesis and theoretical/experimental characterization of novel benzofuran-based acrylamide monomer.

Novel N-substituted acrylamide monomer, i.e. N-[2–(4-Bromo-benzoyl)-benzofuran-3-yl]-acrylamide (BBFA), was synthesized by reacting (3-Amino-benzofuran-2-yl)-(4-bromophenyl) methanone with acryloylchloride at 0–5^oC. Nuclear magnetic resonance (1H-NMR), infrared (FT-IR) and UV-Visible spectrophotometer were used to elucidate the chemical structure of BBFA. Computational studies were performed using the DFT (B3LYP) method on the basis of 6-31 + G (d, p) using Gaussian 09 W and Gauss View 5.0 package in addition to the VEDA program, gauge-independent atomic orbital (GIAO) and time-dependent density functional theory (TD-DFT) methods.

Molecular geometry and vibration assignments of the BBFA monomer were calculated. The molecular structure of the monomer was examined. Both longest and shortest bonds were determined in the structure. The nucleophilic and electrophilic regions of the monomer were determined. The theoretical spectroscopic data of the monomer were compared with the experimental data; both were consistent with each other. The chemical reactivity of the monomer was also determined.

The synthesized BBFA monomer can be evaluated in many areas; from medicine to industry (such as textiles) owing to the presence of various active functional groups. Indeed, acrylamide copolymers are remarkable materials for polymer science and industry. The data produced in this study is original and adds to the scientific community.

This study aims to focus on newcomers’ learning strategies when they perceive organizational socialization support to be lacking, and on interpersonal characteristics that insiders should possess to support the newcomers’ proactive behaviors in this context.

Data were collected through 14 face-to-face, in-depth semi-structured interviews and analyzed with a conventional content analysis method (Paillé and Mucchielli, 2013), involving first a thematic analysis and afterward, a conceptual analysis using MaxQDA11©.

The authors’ analysis highlights that when newcomers perceive the formal organizational socialization support as lacking, they regulate their proactive behaviors by seeking indirect guidance, and more precisely, by engaging in informal interactions with insiders likely to help them socialize. These interactions can have a cost in terms of self-image, so newcomers regulate their proactive behaviors by looking for insiders perceived to be psychologically safe, even if they have to look for them in other working contexts.

Considering the regulation process of newcomers’ proactive behaviors according to their perceptions, human resources management should focus on those perceptions and develop a blended learning approach including formal learning programs, as well as individualized support to facilitate on-the-job learning and respond to personal needs. Special consideration should also be given to interpersonal skills displayed by insiders.

The originality of the study is the use of a qualitative methodology focusing on newcomers’ main learning strategy according to their perception of organizational socialization support and the psychological safety climate. The limitations of the authors’ work are the size of the study population and the fact that part of the interviewees were successfully socialized by reaching 15 months on their new post at the point where the interviews were conducted.