This study examines the distributional equity of urban tree canopy (UTC) cover for Baltimore, MD, Los Angeles, CA, New York, NY, Philadelphia, PA, Raleigh, NC, Sacramento, CA, and Washington, D.C. ...using high spatial resolution land cover data and census data. Data are analyzed at the Census Block Group levels using Spearman's correlation, ordinary least squares regression (OLS), and a spatial autoregressive model (SAR). Across all cities there is a strong positive correlation between UTC cover and median household income. Negative correlations between race and UTC cover exist in bivariate models for some cities, but they are generally not observed using multivariate regressions that include additional variables on income, education, and housing age. SAR models result in higher r-square values compared to the OLS models across all cities, suggesting that spatial autocorrelation is an important feature of our data. Similarities among cities can be found based on shared characteristics of climate, race/ethnicity, and size. Our findings suggest that a suite of variables, including income, contribute to the distribution of UTC cover. These findings can help target simultaneous strategies for UTC goals and environmental justice concerns.
We analyze sectoral labor reallocation and the reversal of urbanization in the United States during the Great Depression. The widespread movement to farms, which serves as a form of migratory ...insurance during the crisis, is largely toward farms with low levels of mechanization. In contrast, the mechanized agricultural sector sheds workers, many of whom reallocate into low-productivity or subsistence farming. The crisis perverts the normal process of structural change in which workers displaced by farm equipment are released into more productive occupations, suggesting that macroeconomic fluctuations are an important factor determining the labor market consequences of technological change.
Purpose
The purpose of this paper is to investigate the impact of logistics service quality (LSQ) on consumer satisfaction and loyalty in an omni-channel retail environment.
...Design/methodology/approach
An empirical, survey-based approach is used to collect data from consumers about experiences with two different omni-channel retail scenarios: buy-online-pickup-in-store (BOPS), and buy-in-store-ship-direct (BSSD). Participants responded to questions regarding the LSQ, consumer satisfaction, and consumer loyalty relative to their actual experience in one of these situations.
Findings
Results suggest that omni-channel consumers are truly unique, and all three dimensions of LSQ (condition, availability, and timeliness) are distinct in their impact on satisfaction and loyalty. Results suggest that in the BOPS sample, consumer satisfaction partially mediates the relationship between condition and loyalty and fully mediates the relationship between timeliness and loyalty. In the BSSD model, consumer satisfaction partially mediates the relationship between timeliness and consumer loyalty.
Research limitations/implications
This research studies LSQ in two different omni-channel scenarios; additional research is needed to explore other omni-channel scenarios and extend the findings to be more generalizable.
Practical implications
Managers should recognize that for omni-channel consumers, timeliness is the essential driver of satisfaction and loyalty. Retailers need to account for this reality and dedicate substantial resources to meet delivery requirements in a timely manner. Logistics service providers need to emphasize speed and reliability of their delivery processes for omni-channel consumers.
Originality/value
This research is the first attempt at conceptualizing LSQ in an omni-channel supply chain, and testing the impact of LSQ on consumer satisfaction and loyalty.
Urban land teleconnections and sustainability Seto, Karen C; Reenberg, Anette; Boone, Christopher G ...
Proceedings of the National Academy of Sciences,
05/2012, Letnik:
109, Številka:
20
Journal Article
Recenzirano
Odprti dostop
This paper introduces urban land teleconnections as a conceptual framework that explicitly links land changes to underlying urbanization dynamics. We illustrate how three key themes that are ...currently addressed separately in the urban sustainability and land change literatures can lead to incorrect conclusions and misleading results when they are not examined jointly: the traditional system of land classification that is based on discrete categories and reinforces the false idea of a rural–urban dichotomy; the spatial quantification of land change that is based on place-based relationships, ignoring the connections between distant places, especially between urban functions and rural land uses; and the implicit assumptions about path dependency and sequential land changes that underlie current conceptualizations of land transitions. We then examine several environmental "grand challenges" and discuss how urban land teleconnections could help research communities frame scientific inquiries. Finally, we point to existing analytical approaches that can be used to advance development and application of the concept.
•Big data/predictive analytics (BDPA) impacts financial/strategic performance in SCM.•We suggest that BDPA can also be used to enhance and enable sustainable SCM.•We review extant theories that can ...inform research in this area.•A theory-based research agenda is proposed.
Big data and predictive analytics (BDPA) tools and methodologies are leveraged by businesses in many ways to improve operational and strategic capabilities, and ultimately, to positively impact corporate financial performance. BDPA has become crucial for managing supply chain functions, where data intensive processes can be vastly improved through its effective use. BDPA has also become a competitive necessity for the management of supply chains, with practitioners and scholars focused almost entirely on how BDPA is used to increase economic measures of performance. There is limited understanding, however, as to how BDPA can impact other aspects of the triple bottom-line, namely environmental and social sustainability outcomes. Indeed, this area is in immediate need of attention from scholars in many fields including industrial engineering, supply chain management, information systems, business analytics, as well as other business and engineering disciplines. The purpose of this article is to motivate such research by proposing an agenda based in well-established theory. This article reviews eight theories that can be used by researchers to examine and clarify the nature of BDPA’s impact on supply chain sustainability, and presents research questions based upon this review. Scholars can leverage this article as the basis for future research activity, and practitioners can use this article as a means to understand how company-wide BDPA initiatives might impact measures of supply chain sustainability.
For the first time in history, more than half the people of the world live in cities. Comprehending the impact of this widespread urbanization requires an awareness of the complex relationships ...between cities and natural ecosystems. This innovative book moves beyond the anti-urban lamentations that often dominate today's academic discourse to examine the evolution of cities and to illuminate the roles that humans play in shaping their environments, both natural and constructed. Christopher G. Boone and Ali Modarres argue that understanding the multiple forces of urbanization requires a holistic approach to the interactions of social, cultural, economic, political, and environmental factors. Without casting judgments, City and Environment seeks to engage readers in an exploration of cities from a truly global perspective. Throughout, it illuminates the social-ecological systems of cities not as an academic exercise—although informing academic audiences is one of its goals—but ultimately to help transform cities into livable and ecologically sustainable environments.
Today׳s supply chain professionals are inundated with data, motivating new ways of thinking about how data are produced, organized, and analyzed. This has provided an impetus for organizations to ...adopt and perfect data analytic functions (e.g. data science, predictive analytics, and big data) in order to enhance supply chain processes and, ultimately, performance. However, management decisions informed by the use of these data analytic methods are only as good as the data on which they are based. In this paper, we introduce the data quality problem in the context of supply chain management (SCM) and propose methods for monitoring and controlling data quality. In addition to advocating for the importance of addressing data quality in supply chain research and practice, we also highlight interdisciplinary research topics based on complementary theory.
Few topics have generated more discourse in recent years than big data analytics. Given their knowledge of analytical and mathematical methods, operations research (OR) scholars would seem well ...poised to take a lead role in this discussion. Unfortunately, some have suggested there is a misalignment between the work of OR scholars and the needs of practicing managers, especially those in the field of operations and supply chain management where data-driven decision-making is a key component of most job descriptions. In this paper, we attempt to address this misalignment. We examine both applied and scholarly applications of OR-based big data analytical tools and techniques within an operations and supply chain management context to highlight their future potential in this domain. This paper contributes by providing suggestions for scholars, educators, and practitioners that aid to illustrate how OR can be instrumental in solving big data analytics problems in support of operations and supply chain management.
Membrane proteins interact with a myriad of lipid species in the biological membrane, leading to a bewildering number of possible protein−lipid assemblies. Despite this inherent complexity, the ...identification of specific protein−lipid interactions and the crucial role of lipids in the folding, structure, and function of membrane proteins is emerging from an increasing number of reports. Fundamental questions remain, however, regarding the ability of specific lipid binding events to membrane proteins to alter remote binding sites for lipids of a different type, a property referred to as allostery Monod J, Wyman J, Changeux JP (1965) J Mol Biol 12:88–118. Here, we use native mass spectrometry to determine the allosteric nature of heterogeneous lipid binding events to membrane proteins. We monitored individual lipid binding events to the ammonia channel (AmtB) from Escherichia coli, enabling determination of their equilibrium binding constants. We found that different lipid pairs display a range of allosteric modulation. In particular, the binding of phosphatidylethanolamine and cardiolipin-like molecules to AmtB exhibited the largest degree of allosteric modulation, inspiring us to determine the cocrystal structure of AmtB in this lipid environment. The 2.45-Å resolution structure reveals a cardiolipin-like molecule bound to each subunit of the trimeric complex. Mutation of a single residue in AmtB abolishes the positive allosteric modulation observed for binding phosphatidylethanolamine and cardiolipin-like molecules. Our results demonstrate that specific lipid−protein interactions can act as allosteric modulators for the binding of different lipid types to integral membrane proteins.
Structural annotation of human carbonic anhydrases Aggarwal, Mayank; Boone, Christopher D.; Kondeti, Bhargav ...
Journal of enzyme inhibition and medicinal chemistry,
04/2013, Letnik:
28, Številka:
2
Journal Article
Recenzirano
Odprti dostop
Carbonic anhydrases (CAs, EC 4.2.1.1) are a family of metalloenzymes that catalyze the reversible interconversion of CO2 and HCO3−. Of the 15 isoforms of human (h) α-CA, 12 are catalytic (hCAs I-IV, ...VA, VB, VI, VII, IX, XII-XIV). The remaining three acatalytic isoforms (hCAs VIII, X and XI) lack the active site Zn2+ and are referred to as CA-related proteins (CA-RPs); however, their function remains elusive. Overall these isoforms are very similar to each other in structure but they differ in their expression and distribution. The favourable properties of hCA II such as fast kinetics, easy expression and purification, high solubility and intermediate heat resistance have made it an attractive candidate for numerous industrial applications. This review highlights the structural similarity and stability comparison among hCAs.
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