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Article
Publication date: 11 October 2021

Levi Anderson, Steven Love, James Freeman and Jeremy Davey

This study first aimed to investigate the differences in drug driver detection rates between a trial of randomised and targeted enforcement operations. The second aim was…

Abstract

Purpose

This study first aimed to investigate the differences in drug driver detection rates between a trial of randomised and targeted enforcement operations. The second aim was to identify which indicator categories are most commonly used by police to target drug drivers and to assess the effectiveness of targeted drug testing. Finally, this study aimed to quantify what specific indicators and cues (of the overarching categories) triggered their decision to drug test drivers and which indicators were most successful.

Design/methodology/approach

This research examined the detection rates in a trial comparison of randomised and targeted roadside drug testing (RDT) operations as well as the methods utilised by police in the targeted operations to identify potential drug driving offenders.

Findings

Visual appearance was by far the most commonly utilised indicator followed by age, police intelligence on prior charges, vehicle appearance and behavioural cues. However, the use of police intelligence was identified as the most successful indicator that correlated with positive oral fluid testing results. During the randomised RDT operations, 3.4% of all drivers who were tested yielded a positive roadside oral fluid result compared to 25.5% during targeted RDT operations.

Research limitations/implications

The targeted RDT approach, while determined to be an effective detection methodology, limits the overall deterrent effect of roadside testing in a more general driving population, and the need for a balanced approach to ensure detection and deterrence is required. This study highlights that by focussing on night times for randomised RDT operations and the identified effective indicators for targeted operations, an effective balance of deterrence and detection could be achieved.

Practical implications

While the presence of a single indicator is not indicative of a drug driver, this study highlights for police which indicators currently used are more effective at detecting a drug driver. As a result, police could adapt current RDT procedures to focus on the presence of these indicators to support drug driver detection.

Originality/value

This is a world-first study that examines both randomised and targeted roadside drug testing. This study controls for location and time of day while using the same police unit for roadside testing, thus is able to make direct comparisons between the two methodologies to determine the effectiveness of police targeting for roadside drug testing. Furthermore, this study highlights which indicators used by police results in the highest rate of positive roadside drug tests.

Details

Policing: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1363-951X

Keywords

Content available
Article
Publication date: 11 October 2021

Salvatore Ammirato, Roberto Linzalone and Alberto Michele Felicetti

The innovation of business model (BM) is a strategic process for many firms, from which depends competitiveness and sustainability. Despite its theoretical relevance in…

Abstract

Purpose

The innovation of business model (BM) is a strategic process for many firms, from which depends competitiveness and sustainability. Despite its theoretical relevance in management sciences, research on business model innovation is in its infancy and lacks of research consistency and theoretical connections to the theme of “performance”. With the aim to contribute in bridging this gap, this paper aims to identify and analyse drivers of business model innovation performance.

Design/methodology/approach

This research is based on an integrative literature review methodology.

Findings

BMI performance drivers are conditions related to various dimensions (i.e. processes, resources, market, BM structure, etc). that, when fulfilled, allow the BMI to have higher performance. BMI performance drivers are antecedents of BMI performance, and their identification is of both theoretical and practical value. The authors find and report a set of 35 BMI performance drivers.

Originality/value

The value of this research is both theoretical and practical. From a theoretical point of view, the identified “Business Model Innovation performance drivers” define and identify a variable of BMI performance, from a practical perspective, and they provide a comprehensive set of key conditions whose attainment should be planned, pursued and monitored by managers.

Details

Measuring Business Excellence, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1368-3047

Keywords

Content available
Article
Publication date: 6 September 2021

Yujie Li, Tiantian Chen, Sikai Chen and Samuel Labi

The anticipated benefits of connected and autonomous vehicles (CAVs) include safety and mobility enhancement. Small headways between successive vehicles, on one hand, can…

Abstract

Purpose

The anticipated benefits of connected and autonomous vehicles (CAVs) include safety and mobility enhancement. Small headways between successive vehicles, on one hand, can cause increased capacity and throughput and thereby improve overall mobility. On the other hand, small headways can cause vehicle occupant discomfort and unsafety. Therefore, in a CAV environment, it is important to determine appropriate headways that offer a good balance between mobility and user safety/comfort.

Design/methodology/approach

In addressing this research question, this study carried out a pilot experiment using a driving simulator equipped with a Level-3 automated driving system, to measure the threshold headways. The Method of Constant Stimuli (MCS) procedure was modified to enable the estimation of two comfort thresholds. The participants (drivers) were placed in three categories (“Cautious,” “Neutral” and “Confident”) and 250 driving tests were carried out for each category. Probit analysis was then used to estimate the threshold headways that differentiate drivers' discomfort and their intention to re-engage the driving tasks.

Findings

The results indicate that “Cautious” drivers tend to be more sensitive to the decrease in headways, and therefore exhibit greater propensity to deactivate the automated driving mode under a longer headway relative to other driver groups. Also, there seems to exist no driver discomfort when the CAV maintains headway up to 5%–9% shorter than the headways they typically adopt. Further reduction in headways tends to cause discomfort to drivers and trigger take over control maneuver.

Research limitations/implications

In future studies, the number of observations could be increased further.

Practical implications

The study findings can help guide specification of user-friendly headways specified in the algorithms used for CAV control, by vehicle manufacturers and technology companies. By measuring and learning from a human driver's perception, AV manufacturers can produce personalized AVs to suit the user's preferences regarding headway. Also, the identified headway thresholds could be applied by practitioners and researchers to update highway lane capacities and passenger-car-equivalents in the autonomous mobility era.

Originality/value

The study represents a pioneering effort and preliminary pilot driving simulator experiment to assess the tradeoffs between comfortable headways versus mobility-enhancing headways in an automated driving environment.

Details

Frontiers in Engineering and Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2634-2499

Keywords

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Article
Publication date: 15 September 2021

Temitope Owolabi, Tunde A. Alabi and Sofiat A. Busari-Akinbode

This study aims to investigate female commercial drivers in the Lagos metropolis. The study sought to know the circumstances that motivated women to venture into…

Abstract

Purpose

This study aims to investigate female commercial drivers in the Lagos metropolis. The study sought to know the circumstances that motivated women to venture into commercial driving; the experiences they encounter whilst engaging with other stakeholders in the public space; the dimension of the conflict between work and family, and the coping strategies used and finally, the health concerns of female commercial drivers.

Design/methodology/approach

The study adopted a cross-sectional design and a qualitative method of data collection. An in-depth interview guide was used to elicit information from 18 female drivers drawn from three sectors of commercial transportation in Lagos State.

Findings

It was found that the major motivation for engaging in commercial driving is the need for survival and family support; although participants acknowledged that they cannot be in the profession for a long time. Married women had less time to engage in commercial driving due to other family responsibilities. Women drivers have experienced mixed reactions from other road users. Commercial driving is physically demanding and poses threat to the health of female commercial drivers.

Originality/value

The findings highlight the circumstances behind women participating in commercial driving. Despite the challenges encountered in this course of this activity, they are still bent on continuing because of the need to take care of their children, a majority of their spouses are not fully contributing to the maintenance of the home.

Details

Journal of Enterprising Communities: People and Places in the Global Economy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6204

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Article
Publication date: 29 September 2021

Md Kamal Hossain and Vikas Thakur

This paper aims to explore the drivers of sustainable healthcare supply chain (SHCSC) performance measurement through extensive literature review and experts' opinions…

Abstract

Purpose

This paper aims to explore the drivers of sustainable healthcare supply chain (SHCSC) performance measurement through extensive literature review and experts' opinions. The drivers are then scrutinized and their priority vector is calculated to provide quality and cost-effective healthcare supply chain (HCSC) services.

Design/methodology/approach

The drivers of the SHCSC performance measurement are validated using the grey-Delphi technique. After validating the drivers, they are prioritized using the grey-analytic hierarchy process (G-AHP), a multi-criteria decision-making tool.

Findings

The findings of the study highlight the prioritized drivers based on the preferences given by the experts. The findings of the study highlight the most prioritized drivers of healthcare (HC) by-product management system, coordinating and facilitating green suppliers in the HCSC and green packaging of pharmaceutical as well as other essential items.

Practical implications

The HCSC managers should coordinate with all the stakeholders across the supply chain and involve them in the decision-making process to make products and services greener and become complicit in complying with the sustainable policy guidelines. The study highlights the strategic policy and managerial implications for implementing sustainability in the HCSC.

Originality/value

The validation and prioritization of the drivers of SHCSC in developing nations' contexts is the key contribution of the study. Grey-AHP enables a practical approach towards enhancing the sustainability of the HCSC and opening the doors for generalizing the study for future research works.

Details

International Journal of Quality & Reliability Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 3 August 2021

Mershack Opoku Tetteh, Albert P.C. Chan, Amos Darko, Sitsofe Kwame Yevu, Emmanuel B. Boateng and Janet Mayowa Nwaogu

International construction joint ventures (ICJVs) are an effective strategy for construction companies worldwide for delivering large and complex projects. Despite…

Abstract

Purpose

International construction joint ventures (ICJVs) are an effective strategy for construction companies worldwide for delivering large and complex projects. Despite numerous ICJVs studies, there is a lack of comprehensive empirical examination of what drives ICJVs implementation. This study aims to investigate the key drivers for implementing ICJVs through an international survey.

Design/methodology/approach

Grounded on a comprehensive literature review and structured questionnaire survey, 123 ICJV experts' responses from 24 different countries/jurisdictions were analyzed using inferential and descriptive statistics. Mann–Whitney U test was used to determine any divergence of ranking of the drivers by the experts. Factor analysis (FA) was used to identify the clusters underlying the key drivers. Rank agreement analysis was later used to investigate the consensus between experts from developing and developed countries/jurisdictions on their ranking of the clusters.

Findings

Out of 34 factors, 26 factors greatly drive the implementation of ICJVs. Mann–Whitney U test results prove the absence of significant disparity among the experts in the ranking of the drivers. Six clusters were obtained through factor analysis (FA), namely, market-penetration and innovation-driven drivers, legal and market-driven drivers, fiscal incentives and market expansion drivers, personal branding drivers, sustainable advantage/power drivers and industrial and organizational promotion drivers. Rank agreement analysis exhibited varied levels of concurrence between professionals from developed and developing countries/jurisdictions.

Practical implications

The appreciation of the factors motivating ICJVs is beneficial to the successful implementation of ICJV strategies. A clear understanding of the drivers can help practitioners and policymakers to customize their ICJVs to reap the expected benefits.

Originality/value

The study has generated valuable insights into the factors that are greatly driving the implementation of ICJVs worldwide. While the findings of this study provide a profound contribution to theory and practice, it contributes to sustainable growth in different perspectives.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 26 August 2021

Jiandong Zhou, Xiang Li, Xiande Zhao and Liang Wang

The purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational…

Abstract

Purpose

The purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational efficiency under the disturbance of road smoothness and to identify significantly associated performance influence factors.

Design/methodology/approach

The authors cooperate with a logistics server (G7) and establish a driving grading system by constructing real-time inertial navigation data-enabled indicators for both driving behaviour (times of aggressive speed change and times of lane change) and road smoothness (average speed and average vibration times of the vehicle body).

Findings

The developed driving grading system demonstrates highly accurate evaluations in practical use. Data analytics on the constructed indicators prove the significances of both driving behaviour heterogeneity and the road smoothness effect on objective driving grading. The methodologies are validated with real-life tests on different types of vehicles, and are confirmed to be quite effective in practical tests with 95% accuracy according to prior benchmarks. Data analytics based on the grading system validate the hypotheses of the driving fatigue effect, daily traffic periods impact and transition effect. In addition, the authors empirically distinguish the impact strength of external factors (driving time, rainfall and humidity, wind speed, and air quality) on driving performance.

Practical implications

This study has good potential for providing objective driving grading as required by the modern logistics industry to improve transparent management efficiency with real-time vehicle data.

Originality/value

This study contributes to the existing research by comprehensively measuring both road smoothness and driving performance in the driving grading system in the modern logistics industry.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 23 August 2021

Yuanyuan Lan, Xiaoyan Zhang, Hui Deng, Zheng Yang and Yuhuan Xia

Drawing on ego depletion theory, this study aims to provide insights into the effect of work-family conflict on the high-speed railway (HSR) drivers’ safety performance by…

Abstract

Purpose

Drawing on ego depletion theory, this study aims to provide insights into the effect of work-family conflict on the high-speed railway (HSR) drivers’ safety performance by examining the mediating role of ego depletion and the moderating roles of work-family centrality and supervisor safety support.

Design/methodology/approach

In total, 243 HSR drivers from 7 railway bureaus in China were surveyed. Structural equation modeling was used to test the hypotheses.

Findings

Both work-to-family conflict and family-to-work conflict have direct and positive effects on HSR drivers’ ego depletion and indirect effects on both safety compliance and safety participation via ego depletion. Moreover, both the direct effect of work-family conflict on ego depletion and its indirect effect on safety performance are moderated by work-family centrality. Supervisor safety support plays a buffering role in the relationship between ego depletion and safety performance.

Originality/value

This study examined the relationship between work-family conflict and safety performance based on the perspective of ego depletion theory. The findings testify to the importance of reducing work-family conflict among HSR drivers pursuant to maximizing safety.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 16 August 2021

Shilpa Gite, Ketan Kotecha and Gheorghita Ghinea

This study aims to analyze driver risks in the driving environment. A complete analysis of context aware assistive driving techniques. Context awareness in assistive…

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Abstract

Purpose

This study aims to analyze driver risks in the driving environment. A complete analysis of context aware assistive driving techniques. Context awareness in assistive driving by probabilistic modeling techniques. Advanced techniques using Spatio-temporal techniques, computer vision and deep learning techniques.

Design/methodology/approach

Autonomous vehicles have been aimed to increase driver safety by introducing vehicle control from the driver to Advanced Driver Assistance Systems (ADAS). The core objective of these systems is to cut down on road accidents by helping the user in various ways. Early anticipation of a particular action would give a prior benefit to the driver to successfully handle the dangers on the road. In this paper, the advancements that have taken place in the use of multi-modal machine learning for assistive driving systems are surveyed. The aim is to help elucidate the recent progress and techniques in the field while also identifying the scope for further research and improvement. The authors take an overview of context-aware driver assistance systems that alert drivers in case of maneuvers by taking advantage of multi-modal human processing to better safety and drivability.

Findings

There has been a huge improvement and investment in ADAS being a key concept for road safety. In such applications, data is processed and information is extracted from multiple data sources, thus requiring training of machine learning algorithms in a multi-modal style. The domain is fast gaining traction owing to its applications across multiple disciplines with crucial gains.

Research limitations/implications

The research is focused on deep learning and computer vision-based techniques to generate a context for assistive driving and it would definitely adopt by the ADAS manufacturers.

Social implications

As context-aware assistive driving would work in real-time and it would save the lives of many drivers, pedestrians.

Originality/value

This paper provides an understanding of context-aware deep learning frameworks for assistive driving. The research is mainly focused on deep learning and computer vision-based techniques to generate a context for assistive driving. It incorporates the latest state-of-the-art techniques using suitable driving context and the driver is alerted. Many automobile manufacturing companies and researchers would refer to this study for their enhancements.

Details

International Journal of Pervasive Computing and Communications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1742-7371

Keywords

Content available
Article
Publication date: 26 July 2021

Roberto Pugliese, Guido Bortoluzzi and Marco Balzano

This study aims to enrich the current theoretical debate on the growth of start-up firms by extensively investigating the ongoing empirical studies in this research…

Abstract

Purpose

This study aims to enrich the current theoretical debate on the growth of start-up firms by extensively investigating the ongoing empirical studies in this research stream. Moreover, this study identifies drivers whose support roles are confirmed in the literature and recommends further research opportunities.

Design/methodology/approach

In this study, we analysed the results of 316 empirical studies on start-up firms and growth and also identified and categorised 66 growth drivers. We presented these drivers in three-dimensional charts: 1) the frequency of using each driver in the 316 studies, 2) the consistency of each driver as measured by the number of studies supporting its statistical significance and 3) the net effect (positive or negative) of each driver on growth.

Findings

Our analysis compares extant studies on growth drivers and shows some under-explored growth factors of start-up firms.

Practical implications

Both start-up managers and policymakers can benefit from this study. This study provided managers with a fine-grained tool on the main growth drivers and can guide policymakers in supporting policies for start-up firms.

Originality/value

This study provides a rich, fine-grained and coherent picture of several potential growth drivers of start-up firms. Moreover, we extended our analysis to various potential drivers more than previous studies on this topic, thereby providing fruitful insights into the critical growth factors for start-up firms.

Details

European Journal of Innovation Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1460-1060

Keywords

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