Extending multi-tenant architectures: a database model for a multi-target support in SaaS applications

Multi-tenant architectures (MTAs) are considered a cornerstone in the success of Software as a Service as a new application distribution formula. Multi-tenancy allows multiple customers (i.e. tenants) to be consolidated into the same operational system. This way, tenants run and share the same application instance as well as costs, which are significantly reduced. Functional needs vary from one tenant to another; either companies from different sectors run different types of applications or, although deploying the same functionality, they do differ in the extent of their complexity. In any case, MTA leaves one major concern regarding the companies’ data, their privacy and security, which requires special attention to the data layer. In this article, we propose an extended data model that enhances traditional MTAs in respect of this concern. This extension – called multi-target – allows MT applications to host, manage and serve multiple functionalities within the same multi-tenant (MT) environment. The practical deployment of this approach will allow SaaS vendors to target multiple markets or address different levels of functional complexity and yet commercialise just one single MT application. The applicability of the approach is demonstrated via a case study of a real multi-tenancy multi-target (MT²) implementation, called Globalgest.     

The debt-equity financing decisions of U.S. startup firms

We examine the debt-equity decisions of startup firms using the Kauffman Firm Survey, the largest database of U.S. startups launched in 2004. To control for sample selection bias and the correlation among financing decisions, we employ a Bivariate Probit-Tobit model. Our results show that several firm characteristics such as growth prospects, firm size, tangible assets, and selling products, as well as owner characteristics such as net worth, experience, education and ethnicity explain the debt-equity decisions in the startup year. In addition, for firms that use debt, we document traits that explain the use of a particular type of business versus personal debt. Larger firms use more business debt, whereas home-based and growth firms use more personal sources of debt. Immigrants, owners who lack work experience and those who invest more time in the business tend to rely more on personal sources of debt.     

International diffusion of steel technologies: Time-lag and the speed of diffusion

The article deals with the diffusion of two major innovations in the world's steel industry, the oxygen steel process and continuous casting. Twenty-one countries, including the socialist countries of Eastern Europe, are analyzed from the point of view of their ability to adopt technology from pioneering countries. Among capitalist countries, Great Britain and the United States appear to be slower than others. Eastern European countries and the Soviet Union as a group show a lower ability to adopt technologies than capitalist countries, even the slowest ones. G. Ray's hypothesis that countries that are late-comers in adopting a particular technology benefit from that and are faster in spreading it over their industry is challenged. The correlation analysis shows that at least in one case, the oxygen steel process, the late-comers are not faster in diffusion than countries that were first in introducing new technology. It is concluded from empirical findings that late-comers may not be faster in diffusion if there is a lack of good communication (the Eastern European countries case) or when the technology in question is relatively simple and benefits from being late are insignificant (the case of oxygen steel process).     

GRADING JOURNALS IN ECONOMICS: THE ABCS OF THE ABDC

Many institutions and governments grade academic journals for the evaluation of research. In this paper, we implement a multi-bibliometric methodology for the evaluation of such a list of journal grades. We examine the grades assigned by the Australian Business Deans Council (ABDC) for over 750 journals in the fields of economics and statistics. Firstly, we generate up to 48 bibliometric-based grades for each journal based on the grade distribution implied by the ABDC. Secondly, we categorize the bibliometrics employing a cluster analysis of an interrater agreement statistic. Thirdly, we present a visualization of the consistency of the grading by journal. Finally, we list those journals where the majority of the matched bibliometrics indicate a higher or lower grade than their ABDC grade.     

Will We Ever Meet Again? The Relationship between Inter-Firm Managerial Migration and the Circulation of Client Ties

A large body of research shows that the migration of managers from one professional service firm to another weakens the old employer’s relationship with its clients, because migrating managers remove their relationship-specific knowledge and expertise – i.e., human and social capital – from their old employers, redeploying it to their new employers. This study extends this research by introducing a bi-directional perspective of social capital in which both firms and managers may exploit these relationship-specific resources. We use theory on social capital to build arguments about how one form of manager mobility, manager migration between two service providers in a single market, can both lead and lag the movement of client ties between those providers, and signaling theory to hypothesize the conditions under which this is likely to occur. Analyses using longitudinal data on New York City advertising agencies generally support our arguments. Our findings contribute to theory and research on manager migration, social capital, and signaling, and raise new questions for how the portability of relationship-specific social capital shapes markets.     

The Timing of Purchases and Aggregate Fluctuations

We study the cyclical effects of the timing of durable goods purchases in a general equilibrium model in which both durable and non-durable goods are consumed and the durable good is lumpy. At the microeconomic level, the timing of durable goods purchases supplies some insulation for non-durable consumption over the cycle. At the macroeconomic level, the timing decisions tend to amplify and propagate wealth and income shocks. Our model also allows for endogenous price determination. When the price of the durable changes due to inflexibility of workers between sectors, the effect of adverse shocks is even stronger and longer.     

Worth waiting for: increasing satisfaction by making consumers wait

A truism in the marketing literature, and among many marketing practitioners, is that requiring consumers to wait negatively impacts quality evaluations, purchase intentions and a range of other important outcomes. However, it is also true that consumer waiting or queuing has historically been considered from an operations perspective. The present research takes a different approach and examines waits in the context of their ability to function as a signal of quality. Four experiments demonstrate a required wait can indeed signal quality to consumers and increase, rather than decrease, both purchase intentions and actual experienced satisfaction. Three moderators of this effect are examined: preexisting knowledge, consumption motivations, and the extent to which quality is difficult to objectively determine. The results suggest in situations where quality is important, unknown or ambiguous, managers may increase consumer satisfaction by making consumers wait.     

Clinical and economic benefits of professional CGM among people with type 2 diabetes in the United States: analysis of claims and lab data

Background: It is estimated that one in 10 people in the US have a diagnosis of diabetes. Type 2 diabetes accounts for 95% of all cases in the US, with annual costs estimated to be $246 billion per year. This study investigated the impact of a glucose-measuring intervention to the burden of type 2 diabetes.

Objective: This analysis seeks to understand how professional continuous glucose monitoring (professional CGM) impacts clinical and economic outcomes when compared to patients who are not prescribed professional CGM.

Methods: This study utilized a large healthcare claims and lab dataset from the US, and identified a cohort of patients who were prescribed professional CGM as identified by CPT codes 95250 and 95251. It calculated economic and clinical outcomes 1 year before and 1 year after the use of professional CGM, using a generalized linear model.

Results: Patients who utilized professional CGM saw an improvement in hemoglobin A1C. The “difference-in-difference” calculation for A1C was shown to be –0.44%. There was no statistically significant difference in growth of total annual costs for people who used professional CGM compared to those who did not ($1,270, p?=?.08). Patients using professional CGM more than once per year had a –$3,376 difference in the growth of total costs (p?=?.05). Patients who used professional CGM while changing their diabetes treatment regimen also had a difference of –$3,327 in growth of total costs (p?=?.0023).

Conclusion: Significant clinical benefits were observed for patients who used professional CGM. Economic benefits were observed for patients who utilized professional CGM more than once within a 1-year period or who used it during a change of diabetes therapy. This suggests that professional CGM may help decrease rising trends in healthcare costs for people with type 2 diabetes, while also improving clinical outcomes.     

Congestion pricing of Canadian airports

Abstract Under congestion pricing, Canadian airports would annually save between $72 and $105 million. Social costs per landing and takeoff decrease about $300 at Toronto and Vancouver and $50 at Calgary and Montreal. Slot constraints fail to eliminate this airport congestion. Congestion prices are lower on average than existing weight‐based prices. Current airport capacity accommodates at least five more years of traffic growth before congestion reaches current levels. Substantial welfare gains occur even if dominant airlines already internalize their self‐imposed delays. This article calculates equilibrium congestion pricing schedules, traffic rates, queuing delays, layover times, and connection times by time of day.     

Going green,going clean: Lean‐green sustainability strategy and firm growth

Despite the widespread recognition of the paybacks of “going green” and “going clean,” limited research has focused on the impact of lean‐green strategy on firm growth. In this study, we contribute to strategy and environmental sustainability literatures by investigating the possibility that the influence on lean‐green strategy and firm growth is driven by different levels of industry competition, managerial power, and family ties. Using panel data from 732 firms in four major industrialized economies (the United States, Germany, France, and the United Kingdom), we found that lean‐green strategy positively relates to firm growth and this relationship is amplified at higher levels of competition, managerial power, and family ties. Theoretical and practical implications of the study are also discussed.