Search results

1 – 10 of 198
To view the access options for this content please click here
Article
Publication date: 29 April 2019

Metehan Feridun Sorkun

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

International Journal of Physical Distribution & Logistics Management, vol. 49 no. 7
Type: Research Article
ISSN: 0960-0035

Keywords

To view the access options for this content please click here
Article
Publication date: 4 April 2008

Sami Habib and Maytham Safar

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Web Information Systems, vol. 4 no. 1
Type: Research Article
ISSN: 1744-0084

Keywords

To view the access options for this content please click here
Article
Publication date: 1 January 1986

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…

Abstract

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.

Details

Anti-Corrosion Methods and Materials, vol. 33 no. 1
Type: Research Article
ISSN: 0003-5599

To view the access options for this content please click here
Article
Publication date: 12 March 2019

Tove Brink

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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).

Research limitations/implications

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.

Originality/value

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.

Details

International Journal of Energy Sector Management, vol. 13 no. 4
Type: Research Article
ISSN: 1750-6220

Keywords

To view the access options for this content please click here
Article
Publication date: 11 April 2021

Esra Barim and Feride Akman

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

Abstract

Purpose

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

Design/methodology/approach

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 0–5oC. 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.

Findings

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.

Originality/value

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.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

Keywords

To view the access options for this content please click here
Book part
Publication date: 19 November 2012

Sabrina Khanniche

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…

Abstract

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.

Details

Recent Developments in Alternative Finance: Empirical Assessments and Economic Implications
Type: Book
ISBN: 978-1-78190-399-5

Keywords

To view the access options for this content please click here
Article
Publication date: 26 October 2018

Cecilia Mornata and Iolanda Cassar

This study aims to focus on newcomers’ learning strategies when they perceive organizational socialization support to be lacking, and on interpersonal characteristics that…

Abstract

Purpose

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.

Design/methodology/approach

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©.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Journal of Workplace Learning, vol. 30 no. 7
Type: Research Article
ISSN: 1366-5626

Keywords

To view the access options for this content please click here
Article
Publication date: 11 November 2013

Ezzatollah Haghighat, Seyed Mohammad Etrati and Saeed Shaikhzadeh Najar

This paper aims to predict the needle penetration force (NPF) in denim fabrics using the artificial neural network (ANN) and multiple linear regression (MLR) models based…

Abstract

Purpose

This paper aims to predict the needle penetration force (NPF) in denim fabrics using the artificial neural network (ANN) and multiple linear regression (MLR) models based on the effects of various sewing parameters.

Design/methodology/approach

In order to design the ANN and MLR models, four parameters including fabric weight, number of fabric layers, weave pattern, and sewing needle size are taken into account as the input parameters and NPF as the output parameter. According to these parameters, 140 samples of data were resulted. Each sample was tested five times. From these 140 data (input-output data pairs), 112 were used for training the ANN and MLR models and 28 samples were used to test the performance of ANN and MLR. Also, the NPF was measured on the Instron tensile tester to simulate sewing process.

Findings

The results indicated that the NPF in denim fabrics can be well predicted in terms of sewing parameters by using ANN and MLR models, in which the ANN model exhibits greater performance than MLR (RANN=0.989> RMLR=0.901).

Research limitations/implications

The NPF measurement method is limited at low speed.

Originality/value

Using the ANN model for forecasting NPF in denim fabrics can help the garment manufactures to produce high-quality denim products and improve the sewing process through reducing seam damage. The NPF could be also measured in the cycle loading conditions similar to sewing machine process by using a special designed tools mounted on the Instron tensile tester.

Details

International Journal of Clothing Science and Technology, vol. 25 no. 5
Type: Research Article
ISSN: 0955-6222

Keywords

To view the access options for this content please click here
Article
Publication date: 13 July 2015

Aristeidis Samitas and Stathis Polyzos

The purpose of this paper is to propose an object-oriented model of financial simulations which aims to test the applicability and suitability of the proposed measures of…

Downloads
2350

Abstract

Purpose

The purpose of this paper is to propose an object-oriented model of financial simulations which aims to test the applicability and suitability of the proposed measures of Basel III with respect to the prevention of banking crises.

Design/methodology/approach

The authors introduce an object-oriented model of financial simulations in the banking sector, namely, virtual banking (VBanking). The system is based on behavioural simulation of economic agents and allows for transactions between them, using various forms of financial assets. VBanking has been implemented as an automated stand-alone model, allowing for repetitive simulations under the same parameter sets, producing an efficient series of statistical data.

Findings

Interpretation of the resulting data suggests that some of the criticism against the proposed measures is justified, as neither economic crises nor contagion are diminished under Basel III. At the same time, the authors’ findings support that the stability goal is met, at least in part.

Research limitations/implications

The model encompasses a relatively small part of the banking sector, while the authors choose not to deal with the production part of the economy. However, these limitations do not hinder the validity and importance of the authors’ findings.

Originality/value

The originality of this article lies in the use of an object-oriented behavioural model and in the resulting model application that is based on it. This enables the authors to run a series of simulations with different parameters, the results of which the authors can then compare. The authors’ findings can contribute to the authorities’ efforts to ameliorate the policies of Basel III.

Details

Journal of Financial Regulation and Compliance, vol. 23 no. 3
Type: Research Article
ISSN: 1358-1988

Keywords

To view the access options for this content please click here
Article
Publication date: 3 August 2021

Humaira Asad, Iqra Toqeer and Khalid Mahmood

The authors design a theoretical perspective that explores how different phases of social mood influence financial risk tolerance (FRT) among investors. Risk is involved…

Abstract

Purpose

The authors design a theoretical perspective that explores how different phases of social mood influence financial risk tolerance (FRT) among investors. Risk is involved in almost all financial decision-making. For a better understanding of risk tolerance behavior, the role played by social mood cannot be ignored. This study aims to explore the linkage between social mood and FRT of investors in Pakistan.

Design/methodology/approach

Using qualitative phenomenology as the guiding framework, 22 interviews were conducted to have a deeper understanding of the lived experiences of investors with at least 10 years of investment experience. Thematic analysis was done to analyze data. Audio-recording, bracketing, triangulation and member checking were done to ensure validity and reliability.

Findings

A theoretical model is developed using the six themes identified through thematic analysis. This model presents an in-depth analysis of the determinants of social mood, its multiple phases and its impact on risk tolerance behavior. Findings reveal that the level of financial literacy, experience and purpose of investment moderate the effect of social mood on FRT.

Practical implications

Investors can manage risk and increase their profits by controlling the effects of social mood. They can benefit from the market situation by taking more risk when the market is extremely low. The advisors can frame their advice in the light of the model.

Originality/value

According to the authors’ knowledge, this is the first study that explores investors’ risk tolerance in response to variations in social mood in the context of an emerging economy. The paper has contributed conceptually and methodologically. It uses phenomenology as the method and develops a theoretical model that describes how different types of investors adjust their risk tolerance in response to changes in their social mood.

Details

Qualitative Research in Financial Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-4179

Keywords

1 – 10 of 198