ANALYSING THE ROLE OF DRIVER BEHAVIORS IN ROAD TRAFFIC ACCIDENTS: AN APPLICATION OF MACHINE LEARNING DOI Creative Commons

Khurram Mahmood,

Taqadus Bashir,

Hafiz Mudassir Rehman

и другие.

International Journal of Management Studies, Год журнала: 2024, Номер 31(1), С. 269 - 298

Опубликована: Янв. 31, 2024

Continuous innovations are taking place worldwide to develop solutions for problems encountered by human beings. The preventionof a variety of accidents due burning, drowning, terrorism, electric shocks, and road traffic is among the important concerns ofresearchers solution developers. Specifically, this current study aims analyse contributions different driver behaviours that resulted in accidents, followed proposing viable reducing accident frequencies benefit society at large. This employed two methods data. One was through SEM, second Artificial Neural Network (ANN). descriptive nature it used survey method collect sample data from 345 drivers various professional backgrounds. questionnaire consisted independent variables, namely slips, errors, mistakes, lapse violations unintentional violations. To measure these variables towards age taken as moderator. statistical techniques included reliability, correlation, normality analyses, addition artificial neural networks regression analyses. Each factor found be significant contributor accidents. Moreover, no difference drivers’ behaviour between males females, but have moderating effect on relationship Additionally, rate decreases with increases vice versa.

Язык: Английский

THE ROLE OF WEB STORE STIMULI ON CUSTOMERS' IMPULSE BUYING BEHAVIOUR THROUGH BRAND PERCEPTION DOI Creative Commons
Muhammad Farrukh Abid, Junaid Siddique,

Amir Gulzar

и другие.

International Journal of Management Studies, Год журнала: 2024, Номер 31(2), С. 431 - 468

Опубликована: Июль 30, 2024

In light of prevailing technological advancements, online shopping has become increasingly prevalent. A well-designed webpage interface, particularly in terms visual appeal, the potential to evoke customer emotions such as pleasure and arousal, thereby stimulating impulse buying among consumers. contrast global brands, local web stores have faced challenges devising strategies cultivate an environment conducive enhancing brand perception encouraging impulsive behavior, specifically realm retailing. Previous studies primarily focused on customers’ cognitive perspectives, including privacy concerns, content sharing, websites credibility. However, existing research yet provide a comprehensive framework for understanding behavior. Addressing these gaps, this study aims investigate effect different store stimuli creating consumers’ its impact Data was collected through purposive sampling, involving 423 users stores. The results showed interesting findings with implications both theory practice. Specifically, environmental stimuli, ambience (lighting), assortment, forum fnac helping staff, were found significantly enhance outlets, consequently boosting

Язык: Английский

Процитировано

1
ANALYSING THE ROLE OF DRIVER BEHAVIORS IN ROAD TRAFFIC ACCIDENTS: AN APPLICATION OF MACHINE LEARNING DOI Creative Commons

Khurram Mahmood,

Taqadus Bashir,

Hafiz Mudassir Rehman

и другие.

International Journal of Management Studies, Год журнала: 2024, Номер 31(1), С. 269 - 298

Опубликована: Янв. 31, 2024

Continuous innovations are taking place worldwide to develop solutions for problems encountered by human beings. The preventionof a variety of accidents due burning, drowning, terrorism, electric shocks, and road traffic is among the important concerns ofresearchers solution developers. Specifically, this current study aims analyse contributions different driver behaviours that resulted in accidents, followed proposing viable reducing accident frequencies benefit society at large. This employed two methods data. One was through SEM, second Artificial Neural Network (ANN). descriptive nature it used survey method collect sample data from 345 drivers various professional backgrounds. questionnaire consisted independent variables, namely slips, errors, mistakes, lapse violations unintentional violations. To measure these variables towards age taken as moderator. statistical techniques included reliability, correlation, normality analyses, addition artificial neural networks regression analyses. Each factor found be significant contributor accidents. Moreover, no difference drivers’ behaviour between males females, but have moderating effect on relationship Additionally, rate decreases with increases vice versa.

Язык: Английский

Процитировано

0