Search results

The purpose of this paper is to initially evaluate the most current and important complications of sustainable mega rail transportation projects. This purpose is assisted by thoroughly reviewing the foremost uncertainties and challenging issues of STI. Once these factors are established, they will be the base of STI indicators. Finally, to consolidate such alignment, the Sydney Metro and Melbourne Metro are then compared and analyzed. The analysis would then create a platform to measure sustainability and relevant complexities in mega rail transportation projects.

To further consolidate such hypothesis, this research investigated two mega rail transportation projects in Australia. Both Sydney Metro and Melbourne Metro Rail were selected as the basis of case study, as both possess similar sustainability aspects.

As an outcome this research found that, complexities in both of these projects were based on future challenges and opportunities including imperfect equalization or not balancing all the four sustainability indicators; and where and how to emphasize the overlapping of these four indicators. In summary, these findings can assist the relevant planners, to better prepare and manage mega railway infrastructure and their operations.

While the sustainability for transportation infrastructure has been covered extensively by other authors, this paper strengthens the four specific and separate STI indicators – especially for mega rail infrastructure. Although, there are some crossover areas within these indicators, however, this research separately validates each as an independent entity. Commonly, there are three dimensions within the sustainability domain – environmental, economical and social. Nevertheless, for this research, a fourth dimension engineering which includes all the technical focus, has been separately developed. This is particularly important to effectively deal with all the complexities, particularly for mega projects, such as rail transportation infrastructure. Accordingly, separating the engineering dimension would thus reshape the triple bottom line factors to include a separate technical focus. To further evaluate this separation of the four specific areas, two mega Australian rail transportation projects are then reviewed as experiments.

As a part of adaptive and complex system thinking, geographic information systems (GIS) are beneficial particularly for transportation projects, where uncertainty is frequent. Accordingly, this paper aims to examine the utilization of GIS in line with adaptive and complex system thinking, as the basis of the methodical formulation of perceived gaps within the integrated transportation planning (ITP) specifically for the mega transportation projects. Such a framework is undertaken, as the mega transportation projects although may seem straightforward, however, are problematic and require more consideration than the traditional triple bottom line factors. Using the Sydney Metro as the case study, the outcome demonstrates the significance of the fourth separate dimension of engineering into the aforementioned bottom-line factors.

The research examines the utilization of adaptive and complex system thinking, as the basis of the methodical formulation of perceived gaps within the ITP. The use of Sydney’s Metro project is a novel example of the proposed methodical formulation and its empirical assessment and provides a better understanding of the use of mapping and planning tools for mega transportation projects.

Aptly, using the developed conceptual framework, this research further validates the inclusion of a separate engineering dimension with the usual triple bottom line factors. Such inclusion is paramount in responding to the existing ITP gaps found within the current literature.

This research uses GIS and ITP process to support the aforementioned adaptive and complex system thinking. This, in turn, is used as the basis of a methodical formulation framework in dealing with mega rail transportation infrastructure. To support such a proposition, Sydney Metro is examined as the basis of a case study.

Through the significance matrix, this paper aims to investigate and explore the main sustainability factors of mega transportation infrastructure projects. Sydney’s Metro mega transportation infrastructure is used as a case study. Sydney’s Metro was selected because of its sustainability challenges faced because of the areas’ diverse ecological zones. Sydney’s Metro is thus examined as the basis of best practice for the determination of the sustainability factors of transportation infrastructures.

Using the significance matrix as a methodology, this research evaluates the environmental impact assessment and environmental assessment processes, to alleviate the problems of the mega transportation infrastructure.

This research found that a more comprehensive determination is needed to further analyse the sustainability factors of mega transportation infrastructures, use of a significance matrix would further assess the environmental complexities of mega transportation infrastructures and the sustainability factors of mega transportation infrastructures should include a nonlinear and asymmetrical scheme highlighting its components and carefully outlining its integration and consolidation.

Although there is concurrent research into sustainability factors of mega transportation, this paper undertakes a new methodology for such infrastructure. While the significance matrix is not a new concept, it has never been used specifically for mega transportation infrastructure. Subsequently, using the significance matrix as a methodology, this research undertakes such environmental analysis and assessment and thus produces a qualitative risk analysis matrix. The findings from this research will ultimately assist the key stakeholders of mega transportation infrastructures to better plan, monitor and support similar projects.

The purpose of this paper is to review the Fuzzy Markov development for assessing the structural integrity of buried transportation bridges. In doing so, the appropriateness of Fuzzy Markov will be assessed, leading to the subsequent model.

This research will utilize the Fuzzy Markov techniques as the conceptual framework. Such methodology is further supported via the utilization and evaluation of 30 buried transportation bridges using the developed Fuzzy Markov model.

Subsequently, through a developed Fuzzy Markov model, this research found that as the basis of structural resilience, specific matrices for age-dependent transition probability can be compiled using conditional survival probabilities in the various structural states; as the basis of structural integrity, specific environmental and economic schemes can also be established based on inspection intervals, intervention systems and failure phases; exact inspection and maintenance intervals can be scheduled to further prolong an asset’s life; and clear and early warning signs can also be formulated for immediate intervention when the structural integrity of the asset are indeed compromised.

The gap within the literature currently surrounds the limitation of computational analysis for some buried structures such as bridges. Specifically, to streamline such evaluation and regimes, a Fuzzy Markov is developed and reviewed.

Digital transformation (DT) projects are complex and often unsuccessful. While researchers have suggested many guidelines and best practices on how to successfully roll out DT projects and how they are spread among a large number of scientific papers. The aim of this paper is to synthesize these guidelines into clear overviews.

A systematic literature review was conducted on both Scopus and Web of Science to search for papers suggesting DT guidelines or best practices. In total, 150 papers dealing with DT and guidelines were fully analyzed.

Eight main DT guidelines were found and each one was expanded with several best practices on how to implement these. The results are eight tables giving an overview of the commonly agreed-upon best practices for each DT guideline.

These overviews are useful for both researchers and practitioners, to guide future work and to be inspired respectively. This paper calls for more research on how these guidelines are followed in practice, how these differ per industry and what their impact is on the overall success of DT projects.

The synthesis of DT guidelines organized into an accessible format has not yet been conducted before, and can serve as a seminal pinpoint for future research.

My goal is to describe my life in marketing over more than 36 years and to help readers better understand (from my personal perspective) the history of marketing. I also aim to lift the curtain on some aspects of service within the marketing community.

This paper is an autobiographical sketch. It describes some key moments in my career, as well as describing how my most cited articles came to be written. It emphasizes the contextual factors at work in different periods, so readers can better understand how and why my research evolved in certain ways. I aim to convey the nature and variety of career experiences that were (and are) open to marketing academics. I discuss my experiences at the Journal of Marketing and the Marketing Science Institute.

Marketing changed rapidly between 1974 and 2017. Although change can be uncomfortable, I urge marketers to seek exposure to new ideas and practices; they are essential to learning and growth. Unexpected opportunities will come along and an alert individual can learn much from them. My time in industry was a learning experience for me. There are many kinds of interesting and successful careers.

The marketing field advances, not by the work of a single individual, but from the accumulated work of the entire marketing community. Everyone has a role to play. I encourage each individual to look for ways to contribute. I offer thoughts on how to build a research career based on my own experience.

My thoughts may shed some light on the experiences of a woman academic and the globalization of marketing academia between 1974 and 2017.

My hope is that this paper contributes to a better understanding of the history of marketing, when it is considered together with other articles on this topic. It may also be useful to people who are embarking upon a career, as well as those seeking to understand the work of earlier marketing scholars.

The datafication of teaching and learning settings continues to be of broad interest to the learning sciences. In response, this study aims to explore a non-traditional learning setting, specifically two Golf Teaching and Research Programs, to investigate how athletes and coaches capture, analyze and use performance data to improve their practice. Athletic settings are well known for spurring the proliferation of personal data about performance across a range of contexts and ability levels. In these contexts, interest in athletes’ experiences with data has often been overshadowed by a focus on the technologies capturing the data and their capabilities.

This ethnographic research focuses on the data-rich experiences of golf coaches and students during two pedagogical encounters. Using Balka and Star’s (2015) concept of shadow bodies, this article explores how golfing bodies can become infused with data, creating partial representations of a lived experience that can be augmented and manipulated for pedagogical purposes, depending on the context and the individuals involved.

Interaction analysis helps the authors to examine the embodied and interactional nature of coach-golfer pedagogical encounters across two sites, a local Professional Golf Association golf course and a Swing Analysis Lab. The authors also split these encounters into two episodes to identify how coaches and golfers use partial representations of their bodies to analyze performance and interpret data.

This research suggests that as data-driven practices continue to engulf athletic settings, and teaching and learning settings broadly, emphasis needs to be placed on ensuring that athletes (learners) – from the most recreational to elite users – have an embodied understanding of their performance to improve their ability. Furthermore, this article raises questions about what data gets shared between instructors and athletes and how that data is used.

President Bill Clinton has had many opponents and enemies, most of whom come from the political right wing. Clinton supporters contend that these opponents, throughout the Clinton presidency, systematically have sought to undermine this president with the goal of bringing down his presidency and running him out of office; and that they have sought non‐electoral means to remove him from office, including Travelgate, the death of Deputy White House Counsel Vincent Foster, the Filegate controversy, and the Monica Lewinsky matter. This bibliography identifies these and other means by presenting citations about these individuals and organizations that have opposed Clinton. The bibliography is divided into five sections: General; “The conspiracy stream of conspiracy commerce”, a White House‐produced “report” presenting its view of a right‐wing conspiracy against the Clinton presidency; Funding; Conservative organizations; and Publishing/media. Many of the annotations note the links among these key players.

The purpose of this paper is to examine the role of a variety of developmental factors on sexual homicide offenders (SHOs), while taking into account other components of sexual homicide theoretical models.

A series of logistic regression models are performed using a total of 616 incarcerated adult male sexual offenders from Canada to distinguish between three groups of sexual offenders, SHOs, violent non-homicidal sex offenders (NHSOs) and NHSOs.

Results indicate that contrary to theoretical models, experiences of victimization are not central to the development of SHOs. Instead, it is the adoption of various problematic behaviors in childhood that appear as most important in the etiology of this particular type of sexual crime. This suggests that the various existing theoretical models of sexual homicide need to be revised and/or tested with additional empirical data.

This is the first study to look at developmental factors using two control groups of NHSOs and violent NHSOs.

The purpose of this study is to empirically evaluate the relationship between learning culture, workforce level, human capital and operational performance in two diverse supply chain populations, aircraft maintenance and logistics readiness.

Drawing upon competence-based view of the firm and human capital theory, this paper analyzes data from two studies.

The results provide support for the hypothesized model. Workforce level moderates the relationship between learning culture and human capital, and human capital partially mediates the relationship between learning culture and operational performance.

The findings have implications for behavioral supply chain management research and implications for educating and training the supply chain management workforce. While the populations represent a diverse set of logistics functions and responsibilities, the participants are all military members, which may limit generalizability.

This study should help leaders understand the importance of learning culture and the perceived differences in its effect on human capital based upon workforce level.

This research is among the first to investigate the role of workforce level and answers a multitude of calls for research into the human side of supply chain management.