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Article
Publication date: 20 January 2012

Chandrakantan Subramaniam, Hassan Ali and Faridahwati Mohd Shamsudin

The purpose of this paper is to identify the initial emergency response time of fire fighting teams in Malaysia.

Abstract

Purpose

The purpose of this paper is to identify the initial emergency response time of fire fighting teams in Malaysia.

Design/methodology/approach

In an emergency incident time is of the essence, and the basic philosophy of an emergency response agency is to respond as quickly as possible to minimize the loss of life and property damage. In the current study, emergency response performance refers to team members' speed in responding to emergency situations, which was measured as the time taken for the team members to get to the fire truck from the waiting room in selected fire stations in Malaysia. The data collection period lasted for five months.

Findings

This study found that the overall average initial emergency response time was 84 seconds, while the overall average weighted initial emergency response time was 3.71 seconds per meter. The current study has demonstrated that the average initial emergency response performed by fire fighting teams in Malaysia is apparently better than that reported by previous studies by other emergency responders.

Originality/value

This paper presents empirical evidence of the initial emergency response time of fire fighters in Malaysia, by taking into account the distance traveled by the responders. As such, the performance measure obtained gives a meaningful indicator. The finding of the current study is then compared to emergency response performance by other emergency response agencies in other countries.

Details

International Journal of Public Sector Management, vol. 25 no. 1
Type: Research Article
ISSN: 0951-3558

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Article
Publication date: 18 May 2020

Mengli Yu, Ronggang Zhou, Zhao Cai, Chee-Wee Tan and Huiwen Wang

This study examines the impact of response time on user experience for mobile applications and considers the moderating influence of gender and network environment on this…

Abstract

Purpose

This study examines the impact of response time on user experience for mobile applications and considers the moderating influence of gender and network environment on this relationship.

Design/methodology/approach

An experiment was conducted with 50 young adults to evaluate their user experience of a mobile application that simulates variations in network environment and response time. User experience was evaluated based on the three constituent dimensions of tolerance, acceptance, and satisfaction.

Findings

Analytical results demonstrate that response time not only adversely affects user experience of mobile applications, but that this effect is not homogeneous across the three dimensions of tolerance, acceptance and satisfaction. The findings also illustrate that gender moderates the effect of response time on user experience, however, the negative influence is more salient for males than females, which is opposite to our hypothesis. The joint moderating influence of gender and network environment turned out to be partly significant.

Practical implications

By illuminating users' tolerance, acceptance, and satisfaction with varied response times, findings from this study can inform the design of mobile applications such that desired levels of user experience can be assured with minimum resources.

Originality/value

Although response time has been hailed as a key determinant of user experience for desktop applications, there is a paucity of studies that have investigated the impact of response time on user experience for mobile applications. Furthermore, prior research on response time neglects the multi-dimensional nature of user experience. This study bridges the above mentioned knowledge gaps by delineating user experience into its constituent dimensions and clarifying the effects of response time on each of these dimensions.

Details

Internet Research, vol. 30 no. 5
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 1 August 1999

Dennis E. Blumenfeld, Carlos F. Daganzo, Michael C. Frick and David J.A. Gonsalvez

Retailers receiving items from a manufacturer carry inventory to meet customer demand. As items are sold, a retailer orders new items to replenish the inventory. Once an…

Abstract

Retailers receiving items from a manufacturer carry inventory to meet customer demand. As items are sold, a retailer orders new items to replenish the inventory. Once an order is placed, there is a time taken for the items to be delivered to the retailer. This time is the manufacturing response time. It includes processing, production, and delivery times. These different components of time can result in response times that are long and uncertain. This paper develops a queueing model for analysing how manufacturing response time affects the inventory needed at retailers to meet demand. The model accounts for variability in response times and allows for products to be delivered to a retailer in a different sequence than they were ordered. Simple equations are derived for the average inventory in terms of demand and response time parameters. The equations show how shortening average response time can substantially reduce retailer inventory.

Details

International Journal of Operations & Production Management, vol. 19 no. 8
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 8 October 2018

Nengzhi (Chris) Yao, Jiuchang Wei, Weiwei Zhu and Alexander Bondar

The conclusions on the importance of corporate response timing to a crisis have remained inconsistent. Some studies suggest that active response may reduce negative…

Abstract

Purpose

The conclusions on the importance of corporate response timing to a crisis have remained inconsistent. Some studies suggest that active response may reduce negative impacts, whereas managers argue that issuing official response frustrates stakeholders and thus decreases the firm value. The purpose of this paper is to investigate the role of external media in the response timing strategy and the consequent stock market reaction.

Design/methodology/approach

Based on 130 corporate crises that befell publicly listed firms in China from 2007 to 2014, this paper uses the Baidu News Search Engine and Chinese Lexical Analysis System to construct the variables of the media characteristics. A structural equation model is established to test the hypotheses.

Findings

The results of this paper suggest that media coverage drives response timing after a crisis. Although an official response is a burden for firms, the timing strategy has multidimensional benefits including effectively alleviating negative effects (defined as buffering effects) and repairing the market (defined as restoring effects). Moreover, the buffering effects of response timing are stronger when completeness of response is low.

Originality/value

This study mainly contributes to crisis communication literature by introducing the role of media in prompting managers to make timing decisions. The findings of this study provide empirical support for the importance of timing response strategy.

Details

Baltic Journal of Management, vol. 14 no. 1
Type: Research Article
ISSN: 1746-5265

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Article
Publication date: 12 November 2019

Hubert Janos Kiss, Ismael Rodriguez-Lara and Alfonso Rosa-Garcia

The purpose of this paper is to analyze how response time in a laboratory experiment on bank runs affects withdrawal decisions.

Abstract

Purpose

The purpose of this paper is to analyze how response time in a laboratory experiment on bank runs affects withdrawal decisions.

Design/methodology/approach

In the authors’ setup, the bank has no fundamental problems, depositors decide sequentially whether to keep the money in the bank or to withdraw, and they may observe previous decisions depending on the information structure. The authors consider two levels of difficulty of decision-making conditional on the presence of strategic dominance and strategic uncertainty. The authors hypothesize that the more difficult the decision, the longer is the response time, and the predictive power of response time depends on difficulty.

Findings

The authors find that response time is longer in information sets with strategic uncertainty compared to those without (as expected), but the authors do not find such relationship when considering strategic dominance (contrary to the hypothesis). Response time correlates negatively with optimal decisions in information sets with a dominant strategy (contrary to the expectation) and also when decisions are obvious in the absence of strategic uncertainty (in line with the hypothesis). When there is strategic uncertainty, the authors find suggestive evidence that response time predicts optimal decisions.

Research limitations/implications

Being a laboratory experiment, it is questionable if depositors in real life behave similarly (external validity).

Practical implications

Since episodes of bank runs are characterized by strategic uncertainty, the result that under strategic uncertainty, longer response time leads to better decisions suggests that suspension of convertibility is a useful tool to curb banking panics.

Originality/value

To the best of authors’ knowledge, this is the first study concerning the relationship between response time and the optimality of decisions in a bank-run game.

Details

Review of Behavioral Finance, vol. 12 no. 3
Type: Research Article
ISSN: 1940-5979

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Article
Publication date: 3 November 2020

Nicholas Andrew Salimbene and Yan Zhang

The primary objective of the current study is to examine the impact that the size of a police department and workload on a department have on response time. Secondarily…

Abstract

Purpose

The primary objective of the current study is to examine the impact that the size of a police department and workload on a department have on response time. Secondarily, the authors look at the effect that incident-level factors such as the severity of a call for service (CFS) and community-level factors such as ethnic diversity have on police response time.

Design/methodology/approach

The current study examined CFSs data collected over a three-year period and organizational information from 26 police departments in Northeast Texas, as well as community-level information. In order to measure the effect of organizational variables, community factors and incident-level variables on police response time, the authors employed the use of hierarchical linear models (HLMs).

Findings

The results of hierarchical linear modeling indicated that incident-level factors and police department size are significant predictors of response time.

Research limitations/implications

There are two primary limitations: first, there were a lack of available organizational structure correlates such as age and differentiation. Second, the primary data set had a significant number of incomplete or repeating cases, thereby limiting the accuracy of the current study’s analysis.

Originality/value

The most unique aspect of this manuscript is that it examines how organizational factors affect police response time. Numerous studies analyzed determinants of police response time such as incident- and community-level factors, but the importance of organizational factors has not been analyzed.

Details

Policing: An International Journal, vol. 43 no. 6
Type: Research Article
ISSN: 1363-951X

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Article
Publication date: 6 December 2020

Ehsan Fallahiarezoudar, Mohaddeseh Ahmadipourroudposht and Nor Hasrul Akhmal Ngadiman

This study aims to provide an ergonomic design of the monitoring room that has resulted in safe, functional and comfortable environment for the operators, which may lead…

Abstract

Purpose

This study aims to provide an ergonomic design of the monitoring room that has resulted in safe, functional and comfortable environment for the operators, which may lead to improve the efficiency. Currently, uses of closed‐circuit televisions to monitor the critical environments are widely applicable. The information is continuously transferred and analyzed through a center called monitoring room.

Design/methodology/approach

Here, through creating a systematic analysis, a series of experiments was performed initially to evaluate and then optimize the parameters such as illumination, visual angle, operator-screen distance, number of scenes display in a single screen, workstation height, screen dimension and monitoring time that may affect the visual skill of the operators. Taguchi orthogonal array was used to analyze the significance of parameters on operator’s response time to a threat. The five parameters were distinguished as significant. Later response surface methodology was utilized to optimize the parameters.

Findings

Quadratic empirical model developed for the response time exposes the optimum response time was achievable at illumination of 500 lux, visual angle of 13°, operator-screen distance of 60 cm, three scenes, workstation height of 120 cm, screen dimension of 34” and monitoring time of 15 min. This shortened the response time by 28 per cent. The adequacy of the fitted model was successfully verified using the confirmation test with α = 95 per cent.

Originality/value

The novelty of this work lies in the application of a systematic statistical analysis, which enables considering the interaction among the noise parameters and controllable one simultaneously. Furthermore, the obtained regression model can widely be used for adjusting the parameters accordingly based on various anthropometric data.

Details

Facilities , vol. 39 no. 7/8
Type: Research Article
ISSN: 0263-2772

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Article
Publication date: 2 March 2015

Alireza Ebrahim Nejad and Onur Kuzgunkaya

The purpose of this paper is to provide a decision-making tool achieving robust supply flow by incorporating strategic stock and contingent sourcing in mitigating minor…

Abstract

Purpose

The purpose of this paper is to provide a decision-making tool achieving robust supply flow by incorporating strategic stock and contingent sourcing in mitigating minor and major disruptions.

Design/methodology/approach

The authors consider a firm with two suppliers where the main supplier is cost-effective but prone to disruptions and the back-up supplier is reliable but expensive due to built-in volume flexibility. In order to incorporate the randomness associated with disruptions and the available capacity during response time in the decision-making stage, the authors present a multi-stage robust optimization (RO) model. The design problem is to determine optimal strategic stock level and response speed of volume-flexible back-up supplier in order to achieve a robust supply flow.

Findings

The results show that the quality of optimal solution is improved by considering the randomness associated with available capacity. In addition, incorporating congestion effects allows identifying the appropriate level of supply chain responsiveness, thus improving the overall performance.

Originality/value

The novelty of the proposed model is the consideration of both strategic stock and volume flexibility in maintaining a robust supply performance while incorporating response capability and congestion effects.

Details

Journal of Manufacturing Technology Management, vol. 26 no. 2
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 13 May 2014

Abdullah Cihan

The purpose of this paper is to examine whether the distribution of police response time to in-progress burglaries differ according to the level of social disorganization…

Abstract

Purpose

The purpose of this paper is to examine whether the distribution of police response time to in-progress burglaries differ according to the level of social disorganization across different neighborhoods.

Design/methodology/approach

Using 2006 calls for service data collected from the Dallas and Houston Police Departments and from the 2000 US Bureau of Census statistics, the effects of social disorganization on police performance were examined through multilevel analysis of the distribution of police response time patterns across different neighborhoods in Dallas and Houston.

Findings

The analysis of the DPD and HPD in-progress calls produced somewhat consistent findings on the relationship between the level of social disorganization and police response time. Concentrated disadvantage, immigrant concentration, and residential stability are important predictors of the distribution of police response time patterns in Dallas and Houston.

Practical implications

Neighborhood social disorganization is related to the distribution of agency response time patterns. Detailed response time analysis is crucial for agencies to improve police performance and the community-police relationship.

Originality/value

In the policing literature, researchers have tended to neglect rapid response when examining many aspects of policing. The present study expands on existing research by examining the theoretical link between the level of neighborhood social disorganization with the distribution of rapid police response to in-progress burglary in two cities.

Details

Policing: An International Journal of Police Strategies & Management, vol. 37 no. 2
Type: Research Article
ISSN: 1363-951X

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Article
Publication date: 11 March 2014

Jiann-Sheng Wu and Tze-chiang Lou

The purpose of this paper is to improve the efficiency of accident management from the angle of reducing highway accident response times while taking into account total…

Abstract

Purpose

The purpose of this paper is to improve the efficiency of accident management from the angle of reducing highway accident response times while taking into account total daily work hours.

Design/methodology/approach

The authors developed a patrol beat scheduling model, which is formulated as a chance-constrained optimization model, with the objective of minimizing the sum of officer work hours. Along with the model, a simulation program was also developed to help evaluate the effectiveness of the model-generated beat schedule in terms of response times.

Findings

This study concluded that, first, the current manually designed beat schedule could be improved should the National Highway Police Bureau adopt the proposed model. Second, the total daily work hours of the model-generated schedule at the confidence level of 100 percent were 64 hours, 21 hours less than the average work hours recorded in the 2006 data, or about an improvement of 24 percent. Should the model be adopted, not only response times will be improved, the 24 percent reduction in work hours could be translated into a cut in personnel cost.

Research limitations/implications

The scheduling model and simulation program are both built upon one-year historical data whose accuracy and completeness is prerequisite.

Practical implications

The proposed model can be adopted by other public service agencies such as fire departments, or emergency service centers. By replacing the historical data used in the study with their own data, agencies can evaluate the efficiency of their existing schedule or generate various schedules based on institutional needs.

Originality/value

This model utilizes historical accident data to generate optimal beat schedule and evaluate the efficiency of such schedule. Similar models have not been found in other studies.

Details

Policing: An International Journal of Police Strategies & Management, vol. 37 no. 1
Type: Research Article
ISSN: 1363-951X

Keywords

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