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1 – 10 of 805Abstract
Purpose
Advanced driving assistance system (ADAS) has been applied in commercial vehicles. This paper aims to evaluate the influence factors of commercial vehicle drivers’ acceptance on ADAS and explore the characteristics of each key factors. Two most widely used functions, forward collision warning (FCW) and lane departure warning (LDW), were considered in this paper.
Design/methodology/approach
A random forests algorithm was applied to evaluate the influence factors of commercial drivers’ acceptance. ADAS data of 24 commercial vehicles were recorded from 1 November to 21 December 2018, in Jiangsu province. Respond or not was set as dependent variables, while six influence factors were considered.
Findings
The acceptance rate for FCW and LDW systems was 69.52% and 38.76%, respectively. The accuracy of random forests model for FCW and LDW systems is 0.816 and 0.820, respectively. For FCW system, vehicle speed, duration time and warning hour are three key factors. Drivers prefer to respond in a short duration during daytime and low vehicle speed. While for LDW system, duration time, vehicle speed and driver age are three key factors. Older drivers have higher respond probability under higher vehicle speed, and the respond time is longer than FCW system.
Originality/value
Few research studies have focused on the attitudes of commercial vehicle drivers, though commercial vehicle accidents were proved to be more severe than passenger vehicles. The results of this study can help researchers to better understand the behavior of commercial vehicle drivers and make corresponding recommendations for ADAS of commercial vehicles.
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Deborah Erdos Knapp, Robert H. Faley and Lori K. Long
Important Americans with Disabilities Act (ADA)‐related issues that derive from the case law are described and analyzed with the aim of providing guidance both for those…
Abstract
Purpose
Important Americans with Disabilities Act (ADA)‐related issues that derive from the case law are described and analyzed with the aim of providing guidance both for those responsible for establishing organizational policies, procedures, and practices.
Design/methodology/approach
A total of 50 influential court cases spanning the past ten years are reviewed and synthesized to better understand the current and future impact of the ADA.
Findings
Better understanding of ADA can help employers both avoid costly litigation and take advantage of a segment of the US labor market that has not yet been fully utilized.
Originality/value
This paper helps practitioner and researchers better understand the organizational implications of the ADA. Better understanding the current case law should lead to employer policies, procedures, and practices that facilitate the better utilization of the qualified disabled work force without compromising employer concerns related to productivity and other job‐related outcomes.
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Frank J. Cavico, Stephen C. Muffler and Bahaudin G. Mujtaba
The article aims to provide a discussion of societal norms concerning “attractiveness,” the existence of appearance discrimination in employment, the presence of “preferring the…
Abstract
Purpose
The article aims to provide a discussion of societal norms concerning “attractiveness,” the existence of appearance discrimination in employment, the presence of “preferring the pretty”, and then the authors examine important civil rights laws that relate to such forms of discrimination. Finally, the authors apply ethical theories to determine whether such discrimination can be seen as moral or immoral.
Design/methodology/approach
It is a legal paper which covers all the laws related to discrimination based on look. Court cases and Americans laws related to this concept are reviewed and critically discussed.
Findings
The paper finds that appearance‐based discrimination is not illegal in the USA so long as it does not violate civil rights laws.
Research limitations/implications
This research is limited to Federal and State laws in the USA and may not be relevant in other countries as the local laws might vary.
Practical implications
Managers and employees can protect themselves in the workplace from illegal discriminatory practices.
Social implications
Employees know their rights and enhance their understanding of laws related to appearance, attractiveness, and why companies look to hire those who are considered “handsome”, “pretty” and “beautiful”.
Originality/value
This is an original and comprehensive paper by the authors.
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Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way…
Abstract
Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way of using the law in specific circumstances, and shows the variations therein. Sums up that arbitration is much the better way to gok as it avoids delays and expenses, plus the vexation/frustration of normal litigation. Concludes that the US and Greek constitutions and common law tradition in England appear to allow involved parties to choose their own judge, who can thus be an arbitrator. Discusses e‐commerce and speculates on this for the future.
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Emmanuel Tetteh Jumpah, Yaw Osei-Asare and Emmanuel Kodjo Tetteh
Users of smallholder farmer microfinance are able to make enough returns to repay credits advanced to them. However, they are in dire need of financial capital such that they are…
Abstract
Purpose
Users of smallholder farmer microfinance are able to make enough returns to repay credits advanced to them. However, they are in dire need of financial capital such that they are inconsiderate of farmer- and credit-specific characteristics when participating in a microfinance programme. This study analyses perceptions of stakeholders regarding select farmer and credit characteristics within the microfinance industry. The study identifies and analyses the factors that influence participation in a microfinance programme by farmers using the logistic regression model. The purpose of this paper is to widen the knowledge base of rural agricultural finance, including factors that influence participation in microfinance intervention(s) thereof.
Design/methodology/approach
A total of 104 participants and 120 non-participant farmers in microfinance programmes were interviewed using a semi-structured questionnaire by applying the multistage sampling technique. The paper applied the logistic regression model in which farmer- and credit-specific characteristics were used to estimate the probabilities of participation.
Findings
The logistic regression results showed that distance, interest rate, experience, membership of farmer-based organisation, number of dependants, household, gender and age were statistically significant farmer- and credit-specific characteristics that influence participation in microfinance programmes. Interest rate and distance exact negative significance influence on participation, whereas membership of farmer-based organisations, experience, gender, household head and age influence participation positively. Reduction in the interest rate and expansion of microfinance to very remote areas rather than locations in urban areas are crucial in terms of improving participation.
Research limitations/implications
The paper used data from only farmers so there is a limit to which the results can be generalised for all microfinance users. It may be relevant to undertake a study that considers non-farm enterprises.
Practical implications
This paper brings to light the need to develop well-structured microfinance facilities that meet the specific needs of the rural poor in transitioning economies while taking into consideration critical factors affecting participation before the establishment of such programmes.
Originality/value
This paper provides empirical evidence to show that farmer- and credit-specific characteristics are essential to ensure participation and success of microfinance programmes thereof.
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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 driving by…
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.
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Marit Engen, Lars Fuglsang, Tiina Tuominen, Jon Sundbo, Jørn Kjølseth Møller, Ada Scupola and Flemming Sørensen
Employees are considered as important contributors to service innovation, but the literature is not unanimous about what employee involvement in service innovation entails. To…
Abstract
Purpose
Employees are considered as important contributors to service innovation, but the literature is not unanimous about what employee involvement in service innovation entails. To advance theoretical understanding of the topic, this paper develops a conceptual framework for analysing employee involvement in service innovations, reviews existing research on the topic and proposes a research agenda.
Design/methodology/approach
Different modes of employee involvement in service innovation are distinguished based on two dimensions: (1) the intensity of employee influence on service innovation and (2) the breadth of the innovation activity in which employees are involved. This conceptual framework is abductively developed through a literature review of empirical service innovation studies to identify and analyse whether and how these modes of employee involvement are manifested in the service innovation literature.
Findings
The findings delineate six modes of employee involvement in the reviewed service innovation studies. Employees are primarily seen as having a strong influence on situated innovation activities but a limited influence on systemic innovation activities. The findings show that more research is needed to assess the connections between different modes of employee involvement.
Practical implications
The findings can be used by practitioners to assess the possibilities different modes of employee involvement may bring to service innovation activities.
Originality/value
The proposed conceptual framework and the analysis of current research and research gaps in service innovation studies provide a clear research agenda for progressing multidimensional understanding of employee involvement in service innovation.
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Felix Y. Wu, Christine Nittrouer, Vinh Nguyen, Mikki Hebl, Frederick L. Oswald and Lex Frieden
In 1990, the Americans with Disabilities Act (ADA) was signed into law by President George H.W. Bush. This law was intended to prevent discrimination against people with…
Abstract
Purpose
In 1990, the Americans with Disabilities Act (ADA) was signed into law by President George H.W. Bush. This law was intended to prevent discrimination against people with disabilities (PWD) in employment, public accommodations, transportation and other areas of life. However, the degree of impact in these sectors has not been studied in tandem. Addressing these sectors together is the primary objective of this paper.
Design/methodology/approach
Results are analyzed and presented regarding ADA impacts as well as which organizations provide advocacy services in support to PWD from survey data collected from 1,582 US participants in 2010 (N = 866) and 2015 (N = 716).
Findings
Results suggest that the ADA has had a positive impact on PWD, yet this law favorably affects people of certain demographics more than others. Moreover, people with and without disabilities have differing opinions on the impact of the ADA, suggesting that what is conveyed to the public and the impact of the ADA on real-life outcomes of PWD are sometimes misaligned.
Originality/value
The present study helps add to the current body of knowledge on the impact of the ADA by providing perspectives on advocacy services and impacts from a diverse set of PWD and their counterparts without disabilities.
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This study aims to propose a novel subjective assessment (SA) method for level 2 or level 2+ advanced driver assistance system (ADAS) with a customized case study in China.
Abstract
Purpose
This study aims to propose a novel subjective assessment (SA) method for level 2 or level 2+ advanced driver assistance system (ADAS) with a customized case study in China.
Design/methodology/approach
The proposed SA method contains six dimensions, including perception, driveability and stability, riding comfort, human–machine interaction, driver workload and trustworthiness and exceptional operating case, respectively. And each dimension subordinates several subsections, which describe the corresponding details under this dimension.
Findings
Based on the proposed SA, a case study in China is conducted. Six drivers with different driving experiences are invited to give their subjective ratings for each subsection according to a predefined rating standard. The rating results show that the ADAS from Tesla outperforms the upcoming electric vehicle in most cases.
Originality/value
The proposed SA method is beneficial for the original equipment manufacturers developing related technologies in the future.
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Kanthana Ditkaew and Muttanachai Suttipun
The main objective of this study is to examine the impact of audit data analytics (ADA) on audit quality (AQ) and audit review continuity (ARC).
Abstract
Purpose
The main objective of this study is to examine the impact of audit data analytics (ADA) on audit quality (AQ) and audit review continuity (ARC).
Design/methodology/approach
Using 452 CPAs in Thailand as samples, mail questionnaires were used and sent to collect the data. Descriptive analysis, correlation matrix and path analysis were used to analyze the data.
Findings
The results of this study indicated that audit data analytics had a positive impact on AQ and ARC. Cybersecurity, used as a moderator in this study, was found to be the interaction between ADA, AQ and review continuity.
Practical implications
Auditors and audit firms can consider using big data in their data analytics to improve AQ and ARC.
Originality/value
Resource advantage theory has been used in this study to explain the impact of ADA on AQ and ARC in Thailand.
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