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An interdisciplinary model network consisting of the regional agricultural economic model RAUMIS and the hydro(geo)logical models GROWA/WEKU is used to analyze the effect of different scenarios of maximum agricultural nitrogen balance surplus on water quality. The study area is the federal state of Lower Saxony, Germany, which features heterogeneous natural site conditions as well as agricultural production structures. A focus of the study is the modeling of supra-regional manure transports that, according to the model's results, considerably increase due to a lowering of maximum nitrogen balance surpluses. The assessment of the examined nitrogen reduction measures reveals that adequate indicators have to be applied. In this regard, the model results show that even though the analyzed measure leads to a substantial overall reduction of agricultural nitrogen surpluses, nitrogen discharges into surface and groundwater can regionally increase.

To study the use of budgeting in the uncertain and unpredictable context of seasonal logistics in the Arctic. Specifically addresses the question of why and how budgeting turns out to be the main management control tool in an extremely unstable environment.

Built on a case study of a Russian oil-producing company operating in The High North, this chapter reports on the rationales for use of budgetary slack by different divisions within the company.

Inflexible budgeting better fits into the (natural/geographical) context than into the business process. In this respect, excessive budget detalization and informational update may be not facilitating the operational process but confusing. Decoupling demonstrated by a budgetary slack is the normal condition for stable organizational performance.

Instead of setting up fences between the divisions, budgeting may be considered a converging and an adjusting factor to assess collective performance. Social embeddedness of budgetary slack in contemporary organizations sets the scene for other types of budgeting games based on trust, norms of reciprocity and collective performance.

The new – cultural – dimension introduces decoupling in a new perspective by demonstrating the integrating or coupling meaning of cultural practices.

One of the most neglected sources of energy loss is streetlights that generate too much light in areas where it is not required. Energy waste has enormous economic and environmental effects. In addition, due to the conventional manual nature of operation, streetlights are frequently seen being turned ‘ON’ during the day and ‘OFF’ in the evening, which is regrettable even in the twenty-first century. These issues require automated streetlight control in order to be resolved. This study aims to develop a novel streetlight controlling method by combining a smart transport monitoring system powered by computer vision technology with a closed circuit television (CCTV) camera that allows the light-emitting diode (LED) streetlight to automatically light up with the appropriate brightness by detecting the presence of pedestrians or vehicles and dimming the streetlight in their absence using semantic image segmentation from the CCTV video streaming. Consequently, our model distinguishes daylight and nighttime, which made it feasible to automate the process of turning the streetlight ‘ON’ and ‘OFF’ to save energy consumption costs. According to the aforementioned approach, geo-location sensor data could be utilised to make more informed streetlight management decisions. To complete the tasks, we consider training the U-net model with ResNet-34 as its backbone. Validity of the models is guaranteed with the use of assessment matrices. The suggested concept is straightforward, economical, energy-efficient, long-lasting and more resilient than conventional alternatives.

This chapter investigates the trends in international and European legal and policy regulation of the process related to carbon capture and storage (CCS). The global endeavor that seeks to limit carbon dioxide emissions has come to recognize CCS as an indispensable ally. This chapter offers an up-to-date and comprehensive commentary to the relatively new and developing area of international regulation of the process of CCS, a dimension that might yield significant effects on the environment and, overall, sustainable development. It reveals a constantly growing trend of an enhanced awareness about the indispensable role and effects of the CCS on wider climate aspirations and, to that effect, also a need for a stable and effective international regulatory framework. The key barriers that are preventing the wider implementation of CCS projects, however, relate primarily to two extra-regulatory processes, which is the policy uncertainty at national levels and financial shortcomings. This background presents a window of opportunity for entrepreneurship and policy invention.

This chapter documents a study based on an international partnership between faculty members at SUNY Empire State College and Tecnológico de Monterrey-Chihuahua. The collaboration presented an excellent opportunity to integrate cultural issues into the geology course as well as interdisciplinary collaboration in the programming course. The objectives were to: (1) create and implement learning activities to help students understand that scientific and technological advances do not occur in isolation, and (2) to evaluate their effectiveness developing a multicultural perspective. We adapted and generalized the virtual team model of Hertel et al. (2005) to the design of group activities in an academic setting. A series of learning activities were developed, including an experiential learning group project aimed at helping with the first objective if the study. Overall, the collaboration was a success. We also discuss the challenges both we and the students faced.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

A variety of gases, including water vapor (H2O), carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), add to the radiative forcing of Earth's atmosphere, meaning that they absorb certain wavelengths of infrared radiation (heat) that is leaving the Earth and thus raise the temperature of its atmosphere. Since glass has the same effect on the loss of heat from a greenhouse, these gases are known as “greenhouse” gases. It is fortunate that these gases are found in the atmosphere; without its natural greenhouse effect, Earth's temperature would be below the freezing point, and all waters on its surface would be ice. However, for the past 100 years or so, the concentrations of CO2, CH4, and N2O in the atmosphere have been rising as a result of human activities. An increase in the radiative forcing of Earth's atmosphere is destined to cause global warming, superimposed on the natural climate cycles that have characterized Earth's history.

In this paper, we aim to understand why consumers often prefer products made using traditional practices even when products made using new practices are not of lower quality. We argue that this resistance, which we call “production process conservatism,” is heightened when the product is used in the performance of a social ritual.

We develop this argument in the context of diamond jewelry, as consumers have generally been resistant to diamonds that are produced in laboratories, i.e., lab-created diamonds. Hypotheses were tested using experiments conducted with an online sample (Experiment 1) and with an MBA student sample (Experiment 2).

In Experiment 1, we find that married female respondents significantly prefer mined diamonds to lab-created diamonds when they are used as part of an engagement gift as opposed to a more routine gift. In Experiment 2, we find the same effect among women; in addition, the perceived risk associated with the ritual is found to mediate this production process conservatism.

This paper contributes to the understanding of a macrosocial phenomenon – acceptance of an innovation – by examining microinteractive processes in groups.

This paper develops an original theory that when individuals deviate from traditional aspects of rituals, they risk signaling a lack of commitment or cultural competence to the group even when such aspects are not explicitly stated.