Addressing business agility challenges with enterprise systems

It is clear that systems agility (i.e., having a responsive IT infrastructure that can be changed quickly to meet changing business needs) has become a critical component of organizational agility. However, skeptics continue to suggest that, despite the benefits enterprise system packages provide, they are constraining choices for firms faced with agility challenges. The reason for this skepticism is that the tight integration between different parts of the business that enables many enterprise systems\u27 benefits also increases the systems\u27 complexity, and this increased complexity, say the skeptics, increases the difficulty of changing systems when business needs change. These persistent concerns motivated us to conduct a series of interviews with business and IT managers in 15 firms to identify how they addressed, in total, 57 different business agility challenges. Our analysis suggests that when the challenges involved an enterprise system, firms were able to address a high percentage of their challenges with four options that avoid the difficulties associated with changing the complex core system: capabilities already built-in to the package but not previously used, leveraging globally consistent integrated data already available, using add-on systems available on the market that easily interfaced with the existing enterprise system, and vendor provided patches that automatically updated the code. These findings have important implications for organizations with and without enterprise system architectures

Transmission losses cost allocation in restructed electricity market environment

During these recent decades, the restructuring system of electricity market has been taken places around the whole world. Due to the restructuring (deregulation), the electrical power system has been divided into three separates categories according to the function. First stage of power system is the generation companies (GENCOs), followed by transmission companies (TRANSCOs) and distribution companies (DISCOs). The competitive environment will be handling by a non-profit entity, independent system operator (ISO) that functioning as the system securities that have to make sure that the power system continues to operate in a stable and economical manner. However, restructuring system can give effect during the energy transmission. One of the transmission issues is regarding the power losses. To overcome the losses, generators must generate more power. The issue regarding the transmission losses in deregulated system is how to allocate it to the user and charge them in fair ways as in for instance the pool trading model, it is hard to trace the power contribution and losses of each user in transmission line. In addition, the users didn’t want to pay the losses, it means that the ISO have to responsible for the losses and it will be unfair to put the responsible to ISO alone. Therefore, in this project, the allocation of transmission losses and loss cost methods which are the pro-rata and proportional sharing method will be investigated. Comparison between those methods will be done in order to identify which types of method that reflect an efficient and fair way to distribute the cost of the transmission losses to the user. These chosen methods will be tested on IEEE bus system

The Landscape of Salesforce for Nonprofits: A Report on the Current Marketplace for Apps

Do you use Salesforce as a Constituent Relationship Management database at your organization, or are you considering it? Since it launched in 1999, more than 20,000 nonprofits have employed the cloud-based system, which is made available to them for free through the philanthropic Salesforce Foundation. What's the catch? Making such a powerful system work for the particular needs of a nonprofit isn't always straightforward. This report can tell you everything you need to know.What's in it? To learn more about the benefits and drawbacks of Salesforce, we interviewed nine prominent consultants specializing in implementing Salesforce for nonprofits along with several members of the Salesforce.com Foundation about what the platform does well, and what you'll want to add to it to suit your needs. We evaluated some of the constituent management packages built on top of Salesforce, including the Salesforce Foundation's Nonprofit Starter Pack, which is aimed at turning the sales automation platform into a tool for nonprofits. We also took a look at the universe of add-ons to the base Salesforce platform -- called "apps" because of Salesforce's online marketplace, the App Exchange -- to find out which might be useful to support a nonprofit's processes.The goal for this report was to break down misconceptions about the tool and to collect disparate information in one place to help you make informed decisions. Whether you're already using Salesforce, are thinking about adopting it, or have yet to even consider it, there's information here for you.What's more, we've included a directory of consultants or firms with experience working with nonprofits to implement Salesforce and the additional App Exchange modules that we cover in this report to make it easier for you to find the help you'll need

Failure prediction models: performance, disagreements, and internal rating systems. NBB Working Papers. No. 123, 13 December 2007

We address a number of comparative issues relating to the performance of failure prediction models for small, private firms. We use two models provided by vendors, a model developed by the National Bank of Belgium, and the Altman Z-score model to investigate model power, the extent of disagreement between models in the ranking of firms, and the design of internal rating systems. We also examine the potential gains from combining the output of multiple models. We find that the power of all four models in predicting bankruptcies is very good at the one-year horizon, even though not all of the models were developed using bankruptcy data and the models use different statistical methodologies. Disagreements in firm rankings are nevertheless significant across models, and model choice will have an impact on loan pricing and origination decisions. We find that it is possible to realize important gains from combining models with similar power. In addition, we show that it can also be beneficial to combine a weaker model with a stronger one if disagreements across models with respect to failing firms are high enough. Finally, the number of classes in an internal rating system appears to be more important than the distribution of borrowers across classes

An Exploratory Study into Open Source Platform Adoption

Research on open source software has focused mainly on the motivations of open source programmers and the organization of open source projects [17] [19]. Some researchers portray open source as an extension of the earlier open systems movement [36]. While there has been some research on open-systems software adoption by corporate MIS organizations [4] the issue of open source adoption has received little attention. We use a series of interviews with MIS managers to develop a grounded theory of open source platform adoption. We contrast this to prior academic and popular reports about the adoption of open source

How can SMEs benefit from big data? Challenges and a path forward

Big data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this valuable commodity. Small and medium enterprises (SMEs) have proved themselves to be slow adopters of the new technology of big data analytics and are in danger of being left behind. In Europe, SMEs are a vital part of the economy, and the challenges they encounter need to be addressed as a matter of urgency. This paper identifies barriers to SME uptake of big data analytics and recognises their complex challenge to all stakeholders, including national and international policy makers, IT, business management and data science communities. The paper proposes a big data maturity model for SMEs as a first step towards an SME roadmap to data analytics. It considers the ‘state-of-the-art’ of IT with respect to usability and usefulness for SMEs and discusses how SMEs can overcome the barriers preventing them from adopting existing solutions. The paper then considers management perspectives and the role of maturity models in enhancing and structuring the adoption of data analytics in an organisation. The history of total quality management is reviewed to inform the core aspects of implanting a new paradigm. The paper concludes with recommendations to help SMEs develop their big data capability and enable them to continue as the engines of European industrial and business success. Copyright © 2016 John Wiley & Sons, Ltd.Peer ReviewedPostprint (author's final draft

Industry Concentration Impacts on Business Strategies Used by Small Produce Wholesalers

Opportunities for small produce wholesalers are affected by concentration in the supply chain, and availability and use of information technology for cost and service issues. Case studies evaluated perceptions, technology adoption and use, and strategies. Ongoing relationships, contracts and bids were common, and a differentiation strategy was chosen.Agribusiness,

A Research Agenda for Studying Open Source I: A Multi-Level Framework

This paper presents a research agenda for studying information systems using open source software A multi-level research model is developed at five discrete levels of analysis: (1) the artifact; (2) the individual; (3) the team, project, and community; (4) the organization; and (5) society. Each level is discussed in terms of key issues within the level. Examples are based on prior research. In a companion paper, [Niederman, et al 2006], we view the agenda through the lens of referent discipline theories