<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>OAR@UM Collection:</title>
  <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/71768" />
  <subtitle />
  <id>https://www.um.edu.mt/library/oar/handle/123456789/71768</id>
  <updated>2026-04-24T03:27:30Z</updated>
  <dc:date>2026-04-24T03:27:30Z</dc:date>
  <entry>
    <title>Corporate entrepreneurship in Bulgarian software companies</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/72139" />
    <author>
      <name>Kanazireva, Raya</name>
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/72139</id>
    <updated>2021-03-24T09:06:04Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Title: Corporate entrepreneurship in Bulgarian software companies
Authors: Kanazireva, Raya
Abstract: This paper presents the results of an empirical study of corporate entrepreneurship (CE) in Bulgarian software industry. The study assesses the levels of entrepreneurial intensity and the internal organizational climate for corporate entrepreneurship among the employees of established Bulgarian-owned software companies. The CE factors validated by the study are management support, autonomy /work discretion and rewards/ reinforcement. The relationships among the factors of the organizational climate for CE and entrepreneurial intensity (EI) are tested and a model for the CE factors explaining EI is presented.</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Exploring interrelationship between three performance indicators with PMI’s Nine Knowledge Areas for successful Project Management</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/72138" />
    <author>
      <name>Krishnaswamy, N.</name>
    </author>
    <author>
      <name>Selvarasu, A.</name>
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/72138</id>
    <updated>2021-03-24T09:05:22Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Title: Exploring interrelationship between three performance indicators with PMI’s Nine Knowledge Areas for successful Project Management
Authors: Krishnaswamy, N.; Selvarasu, A.
Abstract: The performance output of software project management is an essential area of study as reflected in the earlier literatures of Management and organizational behaviour related studies. As a continuous improvement to the earlier existing knowledge contributed by Donna G. Thomas (2009), the present study has been attempted from mere identification of relationship between the performance indicators to project knowledge area of PMBOKⓇ, to the exploration of the strength of relationship between and beyond the PI-KA, the input artifacts and performance output deliverable. A conceptual model has been proposed as Artifact (input)-Process-knowledge area-Performance indicator-Performance deliverable (Output) model (Krishnaswamy N. &amp; Selvarasu A., 2014) for further exploration in the present study. The study has been designed with triangulation of researcher-respondent interactions among FSEs, Senior Project Managers (SPM) and Project Managers (PM) with focused discussion, experience survey and personal/online survey, respectively. The PLS-Regression and PLS-SEM data modelling tool has been employed to find the total effect of hypothetically proposed paths from Artifact-PKA-PI-Performance with and without moderators. The focus of the study is aimed at identifying the top three performance indicators and its interrelationship between PMI’s nine knowledge areas.</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Measuring persistence in nominal exchange rate : implications for Angola’s entrepreneurship and business development</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/72137" />
    <author>
      <name>Belbute, J. M.</name>
    </author>
    <author>
      <name>Delgado, Júlio A.</name>
    </author>
    <author>
      <name>Monteiro, Suzana C.</name>
    </author>
    <author>
      <name>Pascoa, Teresa E.</name>
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/72137</id>
    <updated>2021-03-24T09:04:48Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Title: Measuring persistence in nominal exchange rate : implications for Angola’s entrepreneurship and business development
Authors: Belbute, J. M.; Delgado, Júlio A.; Monteiro, Suzana C.; Pascoa, Teresa E.
Abstract: The purpose of this paper is to measure the degree of persistence in the Kwanza to US Dollar exchange rate. First, our results indicate that nominal exchange rates both in levels and in first differences are I(0), thus implying that the relative purchasing power parity hypothesis for Angola is not rejected. Secondly, we find a significant degree of persistence in both the formal and informal nominal exchange rates. Thirdly, the degree of persistence in the official market is significantly lower than in the formal market, while In first differences, persistence in the official exchange rate is substantially higher than in the informal exchange rate. Lastly, we could not find strong evidence that persistence has changed in levels throughout the sample period. By contrast, there is significant evidence that persistence in first differences has consistently increased after September 2003. These results have important policy implications as the National Bank of Angola is preparing to change its monetary and exchange-rate policy focus to a more inflation-targeting regime and to a more a flexible (or low-managed) exchange-rate regime.</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Slack- based measures of efficiency in two-stage process : an approach based on data envelopment analysis with double frontiers</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/72136" />
    <author>
      <name>Tali, Arif Muhammad</name>
    </author>
    <author>
      <name>Padi, Tirupathi Rao</name>
    </author>
    <author>
      <name>Dar, Qaiser Farooq</name>
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/72136</id>
    <updated>2021-03-24T09:03:51Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Title: Slack- based measures of efficiency in two-stage process : an approach based on data envelopment analysis with double frontiers
Authors: Tali, Arif Muhammad; Padi, Tirupathi Rao; Dar, Qaiser Farooq
Abstract: Data envelopment Analysis (DEA) is a mathematical technique for evaluating the relative efficiency of Decision Making Units (DMUs) that convert multiple inputs to multiple outputs. DEA is considered to find optimistic efficient performers in most favorable scenario while giving most favorable weights to inputs and outputs of every DMU. The obtained efficient DMUs construct an optimistic efficient (best-practice) frontier. On the other hand for the purpose of identifying bad performers in most unfavorable scenario, pessimistic DEA model has been proposed, which measures the efficiency with the set of most unfavorable weights. The obtained pessimistic efficient DMUs construct pessimistic (worst-practice) frontier. In many real life situations, DMUs may have a two-stage structure where the first stage uses inputs to produce outputs (called Intermediate) then in second stage that intermediate measures are taken as inputs to produce the final outputs. Assuming this type of structure of production process we used a Slack-based Model (SBM) for obtaining Optimistic and Pessimistic DEA models for stage one, stage two and for overall system in order to measure optimistic and pessimistic efficiencies. An example of non-life insurance industry of Taiwan is selected for supporting our model.</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
</feed>

