Business Values of Community Source: The Construct and a Research Framework

Community source development has emerged as a new way of developing enterprise applications, leading to a unique type of open source development involving collaborative investment decisions by multiple institutional partners. But research on the business value of community source is lacking. In this paper, we classify the adopters of community source into four types according to the degree of involvement in community source: founding partners, development partners, deployment members and non members. We further identify the dimensions of business values of community source for each type of adopters. A research framework is developed to explicate the varying levels of institutional benefits by adopting community source for the four types of adopters, and several propositions are also generated. Our framework demonstrates the relationship between the business value dimensions and different degree of involvement in community source. This study should help institutions to make more informed decisions in IT investment

On Assessment of Project Success in Community Source Development

Community source has emerged as a unique way of developing enterprise software systems that require significant investments from partnering organizations. This new way of software engineering raises new questions on the issue of successful project development, which are significantly different from previous studies. The objective of this study is to develop a model for assessing project success under community source development. In this paper, we present a case of community source project called Kuali to understand the research questions, propose a unique research model for a survey study, outline the related hypotheses, and discuss our data collection methodology. We believe that our study is unique and will have significant impact on the successful introduction of the community source approach to enterprise application development

A Cooporative Analysis Framework for Investment Decisions in Community Source Partnerships

Community source development has emerged as a new way of developing enterprise applications, leading to a unique type of open source practice involving partnership and investments from multiple organizations. A critical research question in community source development is concerned with the rationale and the economic incentives behind investments from partnering organizations. In this paper, we examine a real world case, the Kuali community source project, and propose a cooperative decision framework to analyze investment decisions made by various types of organizations involved in community source. We analyze joint investment decisions and adopt the Black-Scholes model to capture individual organizations’ decision-making in risky environments. Our analytical results are able to explain an array of observed investment behavior from community-source partners and reveal useful insights to help these organizations make decisions. Our results also facilitate a general understanding of the emerging community source development landscape

Analysis of the Market Structure and Shift-effects in North China Ports

ABSTRACTThis study divides the foreign trade traffic of major North China ports into export and import cargoes for the past 10 years. Then, the concentration ratios and shift effects are analyzed in order to determine their relationships with the ports’ competition structures. Here, the HHI, a BCG matrix analysis, and the shift effects are applied as study methods. The results indicate that the oligopoly market structure of major North China ports has gradually decreased. Furthermore, the concentration ratios of import cargoes are higher than those of export cargoes, indicating that competition to attract import cargoes will intensify. Therefore, the effects of the South Korea–China FTA mean that the competition structures of these ports with regard to export and import cargoes are highly likely to be differentiated further over time

Time-slot based architecture for power beam-assisted relay techniques in CR-WSNs with transceiver hardware inadequacies

Over the past two decades, numerous research projects have concentrated on cognitive radio wireless sensor networks (CR-WSNs) and their benefits. To tackle the problem of energy and spectrum shortfall in CR-WSNs, this research proposes an underpinning decode-&-forward (DF) relaying technique. Using the suggested time-slot architecture (TSA), this technique harvests energy from a multi-antenna power beam (PB) and delivers source information to the target utilizing energy-constrained secondary source and relay nodes. The study considers three proposed relay selection schemes: enhanced hybrid partial relay selection (E-HPRS), conventional opportunistic relay selection (C-ORS), and leading opportunistic relay selection (L-ORS). We present evidence for the sustainability of the suggested methods by examining the outage probability (OP) and throughput (TPT) under multiple primary users (PUs). These systems leverage time switching (TS) receiver design to increase end-to-end performance while taking into account the maximum interference constraint and transceiver hardware inadequacies. In order to assess the efficacy of the proposed methods, we derive the exact and asymptotic closed-form equations for OP and TPT & develop an understanding to learn how they affect the overall performance all across the Rayleigh fading channel. The results show that OP of the L-ORS protocol is 16% better than C-ORS and 75% better than E-HPRS in terms of transmitting SNR. The OP of L-ORS is 30% better than C-ORS and 55% better than E-HPRS in terms of hardware inadequacies at the destination. The L-ORS technique outperforms C-ORS and E-HPRS in terms of TPT by 4% and 11%, respectively

Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study

Introduction. Switchingfrom polluting (e.g. wood, crop waste, coal)to clean (e.g. gas, electricity) cooking fuels can reduce household air pollution exposures and climate-forcing emissions.While studies have evaluated specific interventions and assessed fuel-switching in repeated cross-sectional surveys, the role of different multilevel factors in household fuel switching, outside of interventions and across diverse community settings, is not well understood. Methods.We examined longitudinal survey data from 24 172 households in 177 rural communities across nine countries within the Prospective Urban and Rural Epidemiology study.We assessed household-level primary cooking fuel switching during a median of 10 years offollow up (∼2005–2015).We used hierarchical logistic regression models to examine the relative importance of household, community, sub-national and national-level factors contributing to primary fuel switching. Results. One-half of study households(12 369)reported changing their primary cookingfuels between baseline andfollow up surveys. Of these, 61% (7582) switchedfrom polluting (wood, dung, agricultural waste, charcoal, coal, kerosene)to clean (gas, electricity)fuels, 26% (3109)switched between different polluting fuels, 10% (1164)switched from clean to polluting fuels and 3% (522)switched between different clean fuels

COMMUNITY SOURCE AS A NEW APPROACH TO ENTERPRISE APPLICATION DEVELOPMENT: EXPLORATION OF TECHNOLOGICAL AND MANAGERIAL ISSUES

Community-based open source (community source) has emerged as a new approach of developing enterprise software systems that requires participation and investments from partner institutions. This new approach provides the opportunity for institutions to pool resources together to achieve objectives that are hard to reach individually. In my dissertation, community-based development of enterprise applications is examined in a real world project called Kuali through the following three perspectives: technology perspective, economic perspective and management perspective. Under the technology perspective, the main research question is "how do service-oriented architectures enable technology flexibility in community source?" The Kuali case provides the initial context for understanding the basic concepts and insights surrounding the technological issues in community source. Under the economic perspective, the main research question is "why are institutions interested in investing in community source?" The case study and analytical modeling are used to better understand the decision-making process in community source. Under the management perspective, two main research questions are studied. The first research question is "what are the factors affecting the project success in community source development?" The case study, the surveys and the interviews are conducted to test the community source project success model. The second research question is "what are the motivations for outsourcing software development in community source?" Based on the results of our interview analysis, we propose a research framework for community source outsourcing. In the long term, I would like to develop a generic framework for describing the process of acquiring application software via either commercial, open source, or home grown approach. My research will concentrate on comparing these three application development approaches with a special focus on community source. The main contribution of my dissertation is to provide guideline for strategic planning and decision making in an institution. The finding in this dissertation research will provide significant insights on the selection of various software development approaches that are useful for both researchers and practitioners.Embargo: Release after 02/10/201

Toward Sustainable Collaborative Software Development: A Case in Higher Education

Unmet needs in the area of enterprise applications have led to a new type of system development. Community source is collaborative open source development among multiple institutional partners, typically to achieve mutually desired outcomes. By examining a real world community source project – Kuali, this study addresses the challenges community source faces for sustaining in a large and complicate community. We apply modularity theory to understand how such challenges can be addressed to enhance the sustainability of a collaborative software development community. The matrix is developed to demonstrate both of existing modularity and lacking of modularity in the Kuali community. A proposed matrix is suggested to enhance modularity and establish an organic roof for sustainable collaborative software development