scholarly journals The State-of-the-Art and Development Trends in the Theory and Practice of the Software Industry

2014 ◽  
Vol 1 (20) ◽  
pp. 5
Author(s):  
Sergey Nikolayevich Baranov ◽  
Vladimir Mikhaylovich Shishkin
Author(s):  
David Bowie ◽  
Francis A. Buttle

The ideal person to write a review of books is definitely someone who has written a textbook himself. Bowie and Buttle indeed have made a promising effort to disseminate an important perspective on a subject related to hospitality. One might be quick to conclude that this text is just a dime a dozen and a window dressing of the first edition since not much space is dedicated to reflect on marketing theory and practice to the level of the state of the art. But this sort of unfair review is best left to those scholars who had experienced writing a textbook which is celebrated throughout the English speaking world, like Kotler or Drucker. The review here is a modest attempt to guide those who seek some idea and facts about the book before purchasing it.  


Author(s):  
Michael Goodhart

This edition offers an introduction to the theory and practice of human rights from the perspective of politics and cognate disciplines. It showcases the ‘state of the art’ of the study of human rights in various fields and disciplines and explores a variety of important topics in contemporary human rights politics and practice. This introduction provides the historical and conceptual background necessary for informed critical engagement with the ideas and arguments presented in the text. It first explains why human rights have emerged as a powerful and important moral and political discourse since the middle of the twentieth century, with particular emphasis on their modernity, their invention, and their revolutionary character. It then examines the politics of human rights, the practice of human rights, and human rights as an object of enquiry. It concludes with a brief overview of the aims, structure, and objectives of the text.


Facilities ◽  
2019 ◽  
Vol 37 (11/12) ◽  
pp. 813-824 ◽  
Author(s):  
Dave Collins

Purpose This paper aims to identify the state of the art in Green Leases and Green Leasing in theory and practice, while also identifying how the roles and motivations of the stakeholders of “owner/landlord”, “lessee” and “facilities management” are different in a building that uses Green Leasing and Green Leases, as opposed to the one without. Design/methodology/approach Through existing literature and existing case studies from 1995 to the present day, this paper will identify the state of the art of Green Leases and Green Leasing and the extent to which literature-based discussions have played out in their practical application in the real estate sector. The roles of key stakeholders will be analysed and then compared to the interactions and roles identified in a theoretical model that describes the same stakeholders but from a more traditional stakeholder perspective. This will be achieved through using literature from journal papers mostly from the disciplines of built environment, facilities management, finance, investment, law, management and real estate. Findings The literature and case studies found in literature demonstrate a gradual move towards advancing Green Lease adoption and development. While the roles of key stakeholders do see a change in Green Leased buildings in terms of, for example, changing competencies for facilities managers (FMs) and more user engagement with their buildings sustainability, the literature indicated most of the changes are realised through a strengthening of existing interactions already evident in buildings without a Green Lease or Green Leasing. Originality/value This paper provides a state of the art review on the development of Green Leasing and Green Leases in theory and practice from a stakeholder perspective. It provides possibility to expand further on the changing roles of these stakeholders in Green buildings, which in turn could also positively affect the further development of Green Leases themselves, as well as sustainable certification methodologies such as Europe’s leading certification “Building Research Establishment Environmental Assessment Method” (BREEAM).


Author(s):  
Gilles Balmisse ◽  
Denis Meingan ◽  
Katia Passerini

In this chapter, we update earlier research on the state of the art Knowledge Management (KM) tools and present key evaluation criteria that can be used by organizations to select the applications that best meet their specific KM needs. We briefly describe tools currently available in the software industry to support different aspects of knowledge management and offer a framework for understanding how these tools are clustered based on the functionality they support.


2019 ◽  
Vol 74 (6) ◽  
pp. 1120-1134 ◽  
Author(s):  
Stephan Reinhold ◽  
Florian J. Zach ◽  
Dejan Krizaj

Purpose This paper aims to review the state of the art for the Tourism Review special issue on “Business Models in Tourism”. The authors’ purpose is twofold: first, to contextualize the empirical and conceptual contributions featured in the special issue in relation to the state of research on business models in tourism. Second, the authors position the special issue in the broader scholarly conversation on business models to identify avenues for future research. Design/methodology/approach The authors systematically review the content of tourism-specific business model studies from leading literature databases to answer four questions relevant for future work on business models in tourism: First, how do tourism scholars define the business model concept? Second, what is the ontological stance (object, schema or tool) of existing studies of tourism business models? Third, what are the methodological preferences of existing work on business models in tourism? And finally, what qualifies as rigorous business model research? Findings From the critical review of 32 contributions, the authors identify a minimal consensus and dominant approach to conceptualizing the business model concept in tourism studies. In addition, the authors reveal a strong preference for small-n case study research designs. In sum, those findings point to important gaps and design decisions for future business model studies in tourism. Originality/value This review of the state of research on business models in tourism details research opportunities with regard to theory, methods and applications that tourism scholars can investigate to contribute to the theory and practice of business model management.


2021 ◽  
Vol 20 (5s) ◽  
pp. 1-26
Author(s):  
Yeli Feng ◽  
Daniel Jun Xian Ng ◽  
Arvind Easwaran

Uncertainties in machine learning are a significant roadblock for its application in safety-critical cyber-physical systems (CPS). One source of uncertainty arises from distribution shifts in the input data between training and test scenarios. Detecting such distribution shifts in real-time is an emerging approach to address the challenge. The high dimensional input space in CPS applications involving imaging adds extra difficulty to the task. Generative learning models are widely adopted for the task, namely out-of-distribution (OoD) detection. To improve the state-of-the-art, we studied existing proposals from both machine learning and CPS fields. In the latter, safety monitoring in real-time for autonomous driving agents has been a focus. Exploiting the spatiotemporal correlation of motion in videos, we can robustly detect hazardous motion around autonomous driving agents. Inspired by the latest advances in the Variational Autoencoder (VAE) theory and practice, we tapped into the prior knowledge in data to further boost OoD detection’s robustness. Comparison studies over nuScenes and Synthia data sets show our methods significantly improve detection capabilities of OoD factors unique to driving scenarios, 42% better than state-of-the-art approaches. Our model also generalized near-perfectly, 97% better than the state-of-the-art across the real-world and simulation driving data sets experimented. Finally, we customized one proposed method into a twin-encoder model that can be deployed to resource limited embedded devices for real-time OoD detection. Its execution time was reduced over four times in low-precision 8-bit integer inference, while detection capability is comparable to its corresponding floating-point model.


Sign in / Sign up

Export Citation Format

Share Document