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Article
Publication date: 14 November 2016

Christopher Paul Furner, Robert Zinko and Zhen Zhu

Trust and purchase intent are established, dependent variables in electronic commerce research. Recent studies have highlighted the importance of online product reviews in…

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Abstract

Purpose

Trust and purchase intent are established, dependent variables in electronic commerce research. Recent studies have highlighted the importance of online product reviews in the development of purchase intention, which has led to the development of a substantial research effort in the realm of electronic word-of-mouth (e-WOM). The purpose of this paper is to incorporate e-WOM, information processing and decision-making theories to propose a model of the development of trust and purchase intention based on online product reviews, and incorporate information overload as a moderating factor.

Design/methodology/approach

This study tests the hypotheses using a scenario-based experiment. In total, 157 working adults were asked to read three hotel reviews of different information load. Upon completion, they were then asked to respond to Likert-based questions regarding their trust in the review and purchase intention.

Findings

An inverted U-shaped relationship exists between information load and both trust and purchase intention, where low-information load is ineffective at fostering trust and purchase intention, moderate information load is effective at fostering trust and purchase intention, and high-information load is less effective than moderate information load at fostering trust and purchase intention.

Research limitations/implications

Although the authors supported the inverted U-shaped relationship between information load and two outcomes, the authors only tested three different review lengths, resulting in limited precision, it is not clear where the inflection point is (i.e. exactly how many words results in information overload). Future studies might both seek more precision, and also consider more consumer characteristics, such as risk propensity.

Practical implications

Review platform operators with a stake in encouraging a sale should prioritize and highlight reviews of moderate length (which can be assessed automatically via word count), and consider restricting new reviews of products to minimum and maximum word counts.

Originality/value

This study enhances the relevant and growing body of online review research by: bringing uncertainty reduction theory to bear on the consumer’s information search efforts; using information overload, an important construct from classic information processing and decision-making literature to explain consumer behavior; and identifying a review characteristics (information load) which influences consumer attitudes about a review (trust) and the product (purchase intention). Finally, this study enhances research understanding of a specific experiential service: hospitality.

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Journal of Service Theory and Practice, vol. 26 no. 6
Type: Research Article
ISSN: 2055-6225

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Article
Publication date: 13 August 2019

Jialiang Huang and Liyun Zhou

Many online merchants today have adopted web personalization in the form of personalized product recommendations (PPRs) to improve consumer’s decision quality. The purpose…

Abstract

Purpose

Many online merchants today have adopted web personalization in the form of personalized product recommendations (PPRs) to improve consumer’s decision quality. The purpose of this paper is to reveal the roles of PPRs on consumer decision quality in online shopping from the theoretical perspective of information load.

Design/methodology/approach

To explore the dual roles of PPRs on consumer decision quality, this paper develops a research model for it. A 2 (information load: high vs low) × 2 (web personalization: PPRs vs non-PPRs) between-subjects design is conducted to empirically test the model.

Findings

The results indicate that: first, information load can increase perceived information overload and decrease perceived information underload; second, PPRs can weaken (enhance) the positive (negative) effect of information load on perceived information overload (perceived information underload); third, both perceived information overload and perceived information underload are negatively associated with consumer’s decision quality.

Originality/value

This paper originally develops a research model that explains the roles of PPRs on consumer decision quality from the theoretical perspective of information load in the online shopping context, which could add new insights to the field of web personalization, especially the impact of web personalization on consumer decision making.

Details

Internet Research, vol. 29 no. 6
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 26 October 2018

Istvan Jankovics and Utku Kale

The main purpose of this study is to introduce the pilots’ load model and developed concept of load measuring system for operator load management.

Abstract

Purpose

The main purpose of this study is to introduce the pilots’ load model and developed concept of load measuring system for operator load management.

Design/methodology/approach

In future aeronautical system, the role of operators (pilots and air traffic controllers [ATCOs]) will be in transition from active controlling to passive monitoring. Therefore, the operators’ load (task, information, work and mental) model was developed. There were developed measuring systems integrating into the pilot and ATCOs working environment eye tracking system outside measuring equipment. Operator load management was created by using the measurement.

Findings

In future system depending on time and automation level, the role of information and mental load will be increased. In flight simulator practice, developed load management method serves as a good tool for improving the quality of pilot training. According to the test results, the load monitoring and management system increase the safety of operators’ action in an emergency situation.

Research limitations/implications

The developed method were tested in two flight simulators (one developed for scientific investigation and other one applied for pilot training) and ATM management laboratory.

Practical implications

By deployment of the develop load monitoring and management system, the safety of aircraft flights and air transport management will be increased, especially in an emergency situation.

Social implications

People and society’s acceptance of future highly automated system will be increased.

Originality value

The analysis focuses on the following: developing operator’s load model as improved situation awareness model of Endsley, developing monitoring system integrated into operator’s working environment, creating load management system.

Details

Aircraft Engineering and Aerospace Technology, vol. 91 no. 2
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 27 August 2020

Bruce Clark

This study aims to examine the effects of marketing dashboards on resource allocation between exploratory and exploitative activities. It proposes that tactical dashboards…

Abstract

Purpose

This study aims to examine the effects of marketing dashboards on resource allocation between exploratory and exploitative activities. It proposes that tactical dashboards will lead managers to place less emphasis on exploratory activities and more emphasis on exploitative activities – with performance consequences – but that these effects will be contingent on the information and decision-making environment.

Design/methodology/approach

Study hypotheses were tested using an experiment tracking objective decisions over five periods in the Markstrat simulation. A total of 105 firms, each managed by a team of Master of Business Administration students, were divided into 2 dashboard conditions and a control condition.

Findings

Teams given a tactical dashboard were less likely to engage in exploratory activities when information load was high. Tactical dashboards also suppressed exploration early in the simulation. Dashboards were associated with negative firm performance overall.

Research implications/limitations

The research suggests that dashboards can bias resource allocation, but the effects are contingent on the information and decision-making environment. Dashboards demonstrated a negative relationship with performance. The research lacked cognitive process measures and was limited to a single simulated industry type.

Practical implications

Dashboards are not a panacea for decision-making and performance and will need to change under changing conditions. Executives should build flexibility into the design and use of their dashboards and periodically audit the value the dashboard produces.

Originality/value

While widespread in marketing practice, dashboards have received little study and none involving decision-making over time and changing conditions. This research advances on limited existing work by examining objective causal effects.

Details

European Journal of Marketing, vol. 55 no. 1
Type: Research Article
ISSN: 0309-0566

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Article
Publication date: 19 July 2021

Hassan Abdolrezaei, Hassan Siahkali and Javad Olamaei

This paper aims to present a hybrid model to mid-term forecast the load of transmission substations based on the knowledge of expert site and multi-objective posterior…

Abstract

Purpose

This paper aims to present a hybrid model to mid-term forecast the load of transmission substations based on the knowledge of expert site and multi-objective posterior framework. The main important challenges in load forecasting are the different behavior of load in specific days. Regular days, holidays and special holidays, days after a holidays and days of load shifting are characterized by abnormal load profiles. The knowledge of these days is verified by expert operators in regional dispatching centers.

Design/methodology/approach

In this paper, a hybrid model for power prediction of transmission substations based on the combination of similar day selection and multi-objective posterior technique has been proposed. In the first step, the important data for prediction is provided. Posterior method is used in the second step for prediction that it is based on kernel functions. A multi-objective optimization has been formulated with three type of output accuracy measurement function that it is solved by non-dominated sorting genetic technique II (NSGT-II) method. TOPSIS way is used to find the best point of Pareto.

Findings

The presented method has been tested in four scenarios for three different transmission stations, and the test results have been compared. The presented results indicate that the presentation method has better results and is robust to different load characteristics, which can be used for better forecasting of different stations for better planning of repairs and network operation.

Originality/value

The main contributions of this paper can be categorized as follows: A hybrid model based on similar days selection and multi-objective framework posterior is presented. Similar day selection is done by expert site that the day type and days with scheduled repair are considered. Hyperparameters of posterior process are found by NSGT-II based on TOPSIS method.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

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Logistics Systems for Sustainable Cities
Type: Book
ISBN: 978-0-08-044260-0

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Article
Publication date: 12 September 2008

P. Jorge Santos, A. Gomes Martins and A.J. Pires

The purpose of this paper is to assess next hour load forecast in medium voltage electricity distribution.

Abstract

Purpose

The purpose of this paper is to assess next hour load forecast in medium voltage electricity distribution.

Design/methodology/approach

The methodological approach used in this paper, is based on a regressive method – artificial neural network. A real life case study is used for illustrating the defined steps and to discuss the results.

Findings

The presence of a de‐regulated environment reinforces the need of short‐term forecast algorithms (STLF). Actions like network management, load dispatch and network reconfiguration under quality of service constraints, require reliable next hour load forecasts. Methodological approaches based on regressive methods such as artificial neural networks are widely used in STLF, with satisfactory results. The construction of an “efficient” artificial neural networks goes through, among other factors, the construction of an “efficient” input vector (IV), in order to avoid over fitting problems and keeping the global simplicity of the model. The explanatory variables normally used, are grouped in two major classes, endogenous and exogenous. The endogenous variables are load values in past instants, and the exogenous variables are normally climatic. The main findings with this kind of vector presents satisfactory results compared to other proposals in the literature.

Originality/value

This paper makes use of a procedural sequence for the pre‐processing phase that allows capturing some predominant relations among certain different sets of the available data, providing a more solid basis to decisions regarding the composition of the IV. To deal with load increasing during the winter period, the forecast average daily temperature was used in order to produce an indicator of the daily load average for the forecast day. This information brings more accuracy to the model.

Details

International Journal of Energy Sector Management, vol. 2 no. 3
Type: Research Article
ISSN: 1750-6220

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Article
Publication date: 22 August 2019

Hosam Al-Samarraie, Atef Eldenfria, Melissa Lee Price, Fahed Zaqout and Wan Mohamad Fauzy

This paper aims to investigate the influence of map design characteristics on users’ cognitive load and search performance. Two design conditions (symbolic vs…

Abstract

Purpose

This paper aims to investigate the influence of map design characteristics on users’ cognitive load and search performance. Two design conditions (symbolic vs non-symbolic) were used to evaluate users’ ability to locate a place of interest.

Design/methodology/approach

A total of 19 students (10 male and 9 female, 20-23 years old) participated in this study. The time required for subjects to find a place in the two conditions was used to estimate their searching performance. An electroencephalogram (EEG) device was used to examine students’ cognitive load using event-related desynchronization percentages of alpha, beta and theta brain wave rhythms.

Findings

The results showed that subjects needed more time to find a place in the non-symbolic condition than the symbolic condition. The EEG data, however, revealed that users experienced higher cognitive load when searching for a place in the symbolic condition. The authors found that the design characteristics of the map significantly influenced users’ brain activity, thus impacting their search performance.

Originality/value

Outcomes from this study can be used by cartographic designers and scholars to understand how certain design characteristics can trigger cognitive activity to improve users' searching experience and efficiency.

Details

The Electronic Library , vol. 37 no. 4
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 16 November 2012

Maria Andersson, Tommy Gärling, Martin Hedesström and Anders Biel

The purpose of this paper is to investigate whether stock price predictions and investment decisions improve by exposure to increasing price series.

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1348

Abstract

Purpose

The purpose of this paper is to investigate whether stock price predictions and investment decisions improve by exposure to increasing price series.

Design/methodology/approach

The authors conducted three laboratory experiments in which undergraduates were asked to role‐play being investors buying and selling stock shares. Their task was to predict an unknown closing price from an opening price and to choose the number of stocks to purchase to the opening price (risk aversion) or the closing price (risk taking). In Experiment 1 stock prices differed in volatility for increasing, decreasing or no price trend. Prices were in different conditions provided numerically for 15 trading days, for the last 10 trading days, or for the last five trading days. In Experiment 2 the price series were also visually displayed as scatter plots. In Experiment 3 the stock prices were presented for the preceding 15 days, only for each third day (five days) of the preceding 15 days, or as five prices, each aggregated for three consecutive days of the preceding 15 days. Only numerical price information was provided.

Findings

The results of Experiments 1 and 2 showed that predictions were not markedly worse for shorter than longer price series. Possibly because longer price series increase information processing load, visual information had some influence to reduce prediction errors for the longer price series. The results of Experiment 3 showed that accuracy of predictions increased for less price volatility due to aggregation, whereas again there was no difference between five and 15 trading days. Purchase decisions resulted in better outcomes for the aggregated prices.

Research limitations/implications

Investorś performance in stock markets may not improve by increasing the length of evaluation intervals unless the quality of the information is also increased. The results need to be verified in actual stock markets.

Practical implications

The results have bearings on the design of bonus systems.

Originality/value

The paper shows how stock price predictions and buying and selling decisions depend on amount and quality of information about historical prices.

Details

Review of Behavioural Finance, vol. 4 no. 2
Type: Research Article
ISSN: 1940-5979

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Article
Publication date: 7 November 2016

Luis Conde-López, Guillermo Gutiérrez-Alcaraz and S.N. Singh

Long-term reliability analysis of generation capacity based on the forecasted load demand helps to identify the optimal generation expansion plan of the system. This paper…

Abstract

Purpose

Long-term reliability analysis of generation capacity based on the forecasted load demand helps to identify the optimal generation expansion plan of the system. This paper analyzes the generation adequacy of Mexico’s National Interconnected Power System (MNIPS) using loss of load expectation (LOLE) and loss of energy expectation (LOEE) indices.

Design/methodology/approach

These indices are calculated through an analytical (recursive) method and are then compared with values recommended by the North American Electric Reliability Council (NERC). Weekly indices are computed to analyze the load curtailment options that may occur in some periods.

Findings

Forecasted values, including load and generation capacity considering maintenance schedules, additions of new generating units and permanently shut down units in accordance with the long-term expanding-system plan have been considered. The load forecast uncertainty is also included.

Originality/value

This is original work.

Details

International Journal of Energy Sector Management, vol. 10 no. 4
Type: Research Article
ISSN: 1750-6220

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