Fatal and serious road crashes involving young New Zealand drivers: a latent class clustering approach

The over-representation of young drivers in road crashes remains an important concern worldwide. Cluster analysis has been applied to young driver sub-groups, but its application by analysing crash occurrence is just emerging. We present a classification analysis that advances the field through a holistic overview of crash patterns useful for designing youth-targeted road safety programmes. We compiled a database of 8644 New Zealand crashes from 2002 to 2011 involving at least one 15–24-year-old driver and a fatal or serious injury for at least one road user. We considered crash location, infrastructure characteristics, environmental conditions, demographic characteristics, driving behaviour, and pre-crash manoeuvres. The analysis yielded 15 and 8 latent classes of, respectively, single-vehicle and multi-vehicle crashes, and average posterior probabilities measured the odds of correct classification that revealed how the identified clusters contain mostly crashes of a particular class and all the crashes of that class. The results raised three major safety concerns for young drivers that should be addressed: (1) reckless driving and traffic law violations; (2) inattention, error, and hazard perception problems; and (3) interaction with road geometry and lighting conditions, especially on high-speed open roads and state highways.     

A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo,Egypt

Abstract

The quality of vehicular collision data is crucial for studying the relationship between injury severity and collision factors. Misclassified injury severity data in the crash dataset, however, may cause inaccurate parameter estimates and consequently lead to biased conclusions and poorly designed countermeasures. This is particularly true for imbalanced data where the number of samples in one class far outnumber the other. To improve the classification performance of the injury severity, the paper presents a robust noise filtering technique to deal with the mislabels in the imbalanced crash dataset using the advanced machine learning algorithms. We examine the state-of-the-art filtering algorithms, including Iterative Noise Filtering based on the Fusion of Classifiers (INFFC), Iterative Partitioning Filter (IPF), and Saturation Filter (SatF). In the case study of Cairo (Egypt), the empirical results show that: (1) the mislabels in crash data significantly influence the injury severity predictions, and (2) the proposed M-IPF filter outperforms its counterparts in terms of the effectiveness and efficiency in eliminating the mislabels in crash data. The test results demonstrate the efficacy of the M-IPF in handling the data noise and mitigating the impacts thereof.     

Effect of driver,roadway, collision,and vehicle characteristics on crash severity: a conditional logistic regression approach

The aim of the study is to examine the factors that appear to have a higher potential for serious injury or death of drivers in traffic accidents in Turkey, such as collision type, roadway surface, vehicle speed, alcohol/drug use, and restraint use. Driver crash severity is the dependent variable of this study with two categories, fatal and non-fatal. Due to the binary nature of the dependent variable, a conditional logistic regression analysis was found suitable. Of the 16 independent variables obtained from Turkish police accident reports, 11 variables were found most significantly associated with driver crash severity. They are age, education level, restraint use, roadway condition, roadway type, time of day, collision location, collision type, number and direction of vehicles, vehicle speed, and alcohol/drug use. This study found that belted drivers aged 18–25 years involving two vehicles travelling in the same direction, in an urban area, during the daytime, and on an avenue or a street have better chances of survival in traffic accidents.     

Identifying the factors behind fatal and non-fatal road crashes: a case study of Lahore,Pakistan

ABSTRACT

The study identifies the factors behind fatal and non-fatal road crashes in Lahore, Pakistan, by investigating 461 reported cases to Traffic Police Lahore that occurred during January–November 2014. Road crashes are categorized into fatal and non-fatal crashes and, because of the binary nature of the dependent variable, logistic regression is used to identify the factors behind these crashes. As a follow-up, discriminant analysis is employed to classify the factors related to fatal and non-fatal crashes. The logistic regression results reveal that females are at higher risk of fatalities than male drivers. Among vehicle types, rickshaws and cars are more involved in fatal accidents because both are growing at large on roads. Long trucks and trailers are also involved in fatal accidents, mainly because of their huge size and drivers’ risky driving behaviours. It is also noted that risk of fatalities is higher in case where two vehicles bumped each other. Speeding and overloading are the common behaviours resulting in fatal crashes. Better urban transport systems and strict compliance with traffic rules and regulations may improve road safety in Pakistan.     

Seating position and patterns of severely injured body parts among child passengers in motor vehicle crashes: Japan as a distinct case

ABSTRACT

This study describes injury patterns and outcomes related to the seating position of child passengers involved in motor vehicle crashes in Japan. Using data obtained from a national trauma registry database, we compared the occurrence of injuries by body parts, length of hospital stay and in-hospital deaths between front-seating and rear-seating among children. We analysed 166 children aged 0–5 years and 205 children aged 6–12 years. No significant differences were observed between front- and rear-seating for injured body parts, length of hospital stay or in-hospital deaths in the 0–5-year-old victims. Among those aged 6–12 years, rear-seating was associated with a higher incidence of head and chest injuries but the length of stay or in-hospital deaths did not differ. These findings contrast those of previous studies, which found that rear-seating reduces injury risk, possibly attributed to low age-appropriate restraint use among school-aged children in Japan.     

Exploring brand identity and entrepreneurship as drivers of small specialist retailer internationalisation: a German case study

While the comparatively sparse literature on small specialist retailing typically supports a proactive interpretation of the drivers of retail internationalisation, a more differentiated picture exists with regard to understanding the role of the brand construct in this process. The wider marketing literature recognises that brand identity, as well as brand image, can inform the process of internationalisation; yet, research focusing on small specialist retail internationalisation remains underdeveloped in this regard. Neither the notion of a multi-faceted brand concept nor its function as a strategic device in the internationalisation process has been analysed with sufficient depth. Furthermore, a better understanding of how and to what extent brand identity is interdependent upon the characteristics and activities of the entrepreneur is yet to emerge. This paper explores the construct of brand identity and its role within small specialist retail internationalisation, and the related influence of the entrepreneur on the internationalisation process. A case study approach is adopted, examining one German small specialist retailer. Data collection involved semi-structured interviews with owner-managers and other senior management, an assessment of company documentation as well as participant observation, providing in-depth insights into distinctive internationalisation patterns. The study finds that a simple ‘either-or’ approach, in terms of characterising the retailer’s motivation to internationalisation as being either reactive or proactive, is inadequate in understanding this particular case. Whilst initial motivation was characterised as being reactive, the motivations underpinning further planned internationalisation are determined to be more proactive. More particularly, analysis reveals how brand identity is considered to play an important role in the internationalisation of the case study retailer, and highlights the numerous ways in which the characteristics and activities of the entrepreneurial owner-managers impact the firm’s internationalisation. This research contributes to retail and management research concerning SME internationalisation as well as to the retail branding literature.     

Impact of public involvement in research on quality of life and society: a case study of research career trajectories

This case study illustrates the research career trajectory of two lay researchers after they joined a Big Lottery funded study to explore loneliness and isolation among older people living in a town in the north of England, UK. The two lay researchers were of pensionable age themselves and engaged in all aspects of the research process as full members of the research team. Following research methods training and their substantive input into study design, they engaged fully in an approach of peer‐interviewing of other older adults as the main study method. Following this initial exposure to undertaking research, these exemplars of public involvement in research went on to be involved in other research as co‐researchers at a local and national level. Initially the paper sets out the lay researchers' personal backgrounds and expectations from involvement in research. The impact of their involvement in research on their quality of life and that of their community is presented. Latterly, the societal impact of the lay researcher's involvement is examined. The difference they made to the initial study design and conduct is described first followed by their development as substantial research resources for other studies and community initiatives. Overall the impact of these lay researchers has been significant and the paper provides an example of how involvement in research can impact on individuals and communities to great effect.     

Exchange rate effects: A case study of the export performance of the Swiss agriculture and food sector

The Swiss franc appreciated strongly against the currencies of Switzerland's most important trading partners after the global financial crisis in 2008. This has raised the question of how sensitive Swiss exports are with respect to exchange rate movements. We analyse this question for exports of the Swiss agriculture and food sector, using both time series and dynamic panel data models based on data from 1999 to 2012. We find that in the long run a one per cent appreciation of the Swiss franc leads on average to a decrease in exports of agricultural and food products between 0.8 and 0.9 per cent. Our results suggest that on average, producers in the Swiss agriculture and food sector are able to successfully avoid price competition by differentiating their products, producing high‐quality products for niche markets.     

Productivity and impact in advertising research since the millennium: a profiling and investigation of drivers of impact

What does it take to become a top advertising scholar in productivity? What drives impact in advertising research? This article sets out to answer these two questions by assessing the productivity and impact among scholars and their work in advertising since the millennium. As a two-part study, we begin by benchmarking and profiling the top 1% scholars in the field based on their research publications in the three top advertising journals (Journal of Advertising, Journal of Advertising Research, and International Journal of Advertising). Next, we employ a three-perspective conceptual model to identify the salient drivers of impact in advertising research. By content analyzing 1443 articles in the three journals published between 2000 and 2014, we show that certain universalistic and particularistic factors (to a lesser extent) significantly predict paper citations. Our findings reveal how advertising academia is advancing and showing signs of internationalization in the new millennium, which provides implications for the field's advancement and scholarship.     

Outward foreign investment and export structure: a case study of Taiwan's FDI in Malaysia

As Taiwan's outward FDI was primarily motivated by the relatively lower costs of land and labour in the host countries, one tends to expect that the structure of production and exports in Taiwan would shift toward higher capital and skill intensity. The structure of Taiwan's exports to the ASEAN-4 was concentrated more in higher human and physical capital intensities than Taiwan's total exports to the world. Moreover, Taiwan's exports to the ASEAN-4 were more concentrated on intermediate goods and machinery. A case study of Taiwan's outward FDI in Malaysia indicated that three of the five leading industries that accounted for a large shares of changes on FDI stocks and corresponding export commodities were the same. Pooling estimates also show that FDI has a small but positive impact on Taiwan's exports to the host country. The study further showed that Taiwan's FDI in Malaysia includes mixed tactics of ‘defensive’ and ‘aggressive’ strategies in various industries. In terms of the influence of the presence and economic role of ethnic Chinese on Taiwan's outward FDI, the study showed that the ‘Chinese connection’ has not been a significant factor in determining the industrial distribution of Taiwan's FDI in Malaysia.     

Framing the usefulness of eHRM in talent management: A case study of talent identification in a professional services firm

As talent management evolves from intuitive to evidence‐based decision‐making, the role of electronic Human Resource Management (eHRM) to gather, distribute, and analyze data becomes more critical. However, surprisingly few academic studies investigate the role of technology in talent management. Drawing on a qualitative case study of talent management in a large professional services firm, this paper critically examines how eHRM information technologies are framed as useful within talent identification discourses. The findings reveal two distinct but interrelated sets of processes employed to identify talent and suggest that the perceived usefulness and centrality of eHRM are influenced by how stakeholders shape their understanding of effective talent management. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.     

The emotions of top managers and key persons in cross-border M&As: Evidence from a longitudinal case study

Building on prior research on emotions in M&A, this paper analyses the post-M&A emotions of top managers and key persons from the acquired company by examining what triggers emotions during the post-acquisition integration stage, and what the consequences of those emotions are. This study applies cognitive appraisal and affective event theories with empirical evidence based on a longitudinal, single case study of an Indian–Finnish acquisition. The main findings imply that M&As are very emotional for top managers and key persons. Our findings reveal that they experience a wide range of positive and negative emotions triggered by individual and company-level triggers. Interestingly various triggers can have different and opposite appraisal outcomes in the short and long-term. In addition, top managers and key persons are often restricted in the range of behavioural outcomes caused by emotions.     

Consumer socialization,social structural factors and decision‐making styles: a case study of adolescents in Malaysia

The purpose of this study is to investigate how the process of consumer socialization will determine adolescents’ decision‐making styles. Eight decision‐making styles were conceptualized as outcomes of the socialization process, which is acquired via interaction with socialization agents, namely parents, peers, printed media, television commercials and in‐school education. The study also proposed five social structural variables (social class, gender, ethnicity, residence and religion) as being associated with the socialization agents and decision‐making styles. The study sample consisted of 934 adolescents between the ages of 16 and 19 years. The data were collected using a self‐administered questionnaire and analysed with the SPSS computer program. As a result of regression analyses, significant relationships were found between social structural factors and socialization processes, suggesting that the influence of socialization agents on adolescents may vary according to certain demographic characteristics. Significant relationships were also found between social structural factors and socialization processes. Peers appeared to be the most important agents of consumer socialization, contributing to a variety of desirable as well as undesirable consumer decision styles. Printed media and television commercials were also found to be significant sources of the acquisition of both desirable and undesirable decision‐making styles. Parents and in‐school education, however, were insignificant in the acquisition of any decision‐making styles among adolescents. Information obtained from this study could be useful to government agencies and consumer educators. The most revealing finding of this study is that parents did not contribute to the formulation of decision‐making orientation for adolescents. This points to the need for consumer educators to take steps in designing programmes that will involve parents as primary socialization agents at home; this may be facilitated via printed materials. Apart from this, the information can also be helpful in enabling marketers to be more effective in targeting various adolescent markets by formulating marketing strategies according to demographic factors, socialization process and decision‐making styles.     

Roles of ‘small- and medium-sized enterprises’ in service industry innovation: a case study on leisure agriculture service in tourism regional innovation

This study combines service-dominant logic (SDL) with industry cluster theory to analyze the evolution of leisure agriculture service in Taiwan. The result shows that cooperation among small- and medium-sized enterprises (SMEs) can increase customer willingness to participate in value co-creation. Customer-driven cooperation among SMEs drives SMEs to increase their competitiveness and thus overcome their disadvantages in resources and capabilities. Additionally, the four-stage evolution of leisure agriculture service is identified to help tourism SMEs understand their positions and suggest appropriate strategies for achieving sustainable development and it also reveals a shifting paradigm from goods-dominant logic to SDL in tourism industry.     

Effect of community relationship management,relationship marketing orientation,customer engagement,and brand trust on brand loyalty: The case of a commercial bank in Thailand

Business uncertainty due to the COVID-19 pandemic has brought financial and banking industries under stress. This study examines brand loyalty (BL) in the Thai banking industry by integrating community relationship management (CoRM) (4Cs model), relationship marketing orientation (RMO), customer engagement (CE), and brand trust (BT). It analyzes how a Thai commercial bank used four success factors to create new client acquisition, business efficiency, long-term relationships, and BL. We use quantitative data and structural equation modeling (SEM) to identify variables influencing the BL of 1650 customers of a Thai commercial bank. We found CoRM and RMO's key success factors indirectly affected BL by mediating CE and BT. These results may improve sustained performance effectiveness in the banking industry now and in the future.