43,238 research outputs found
Understanding EBLIP at an organizational level: an initial maturity model
Objective - Existing research around evidence based practice in the LIS (library and information science) professional context over the past two decades has captured the experience of individual practitioners, rather than the organization as a whole. Current models of evidence based library and information practice (EBLIP) relate to, and apply predominantly to, individuals or specific scenarios. Yet despite a growing demand from institutional and library leaders for evidence to demonstrate why investments in libraries should continue, little is known about how an organization can enhance its maturity in evidence based practice. This paper addresses this gap by seeking to understand what an evidence based university library looks like and answering the questions: how does a university library leader know the library’s service and practice is evidence based? How can a university library measure and progress its maturity in evidence based practice?
Methods - Sixteen semi-structured interviews were conducted with library professionals employed at Australian and New Zealand university libraries. Transcripts were analyzed using thematic analysis techniques. The interviews, combined with a literature review and environmental scan of evidence based practices in university libraries, informed the development of a draft capability maturity model as a framework for developing evidence based practice in university libraries.
Results - The model identifies and describes characteristics at five different levels of evidence based practice maturity from least mature (Ad hoc/Sporadic) to most mature (Transforming). Three dimensions of experience help to define the characteristics at each level of maturity and provide a framework to understand how a university library might develop its organizational capacity in evidence based library and information practice.
Conclusion - Library leaders and practitioners will benefit from the model as they seek to identify and build upon their evidence based practice maturity, enabling more robust decision-making, a deeper understanding of their clients and demonstration of value and impact to their stakeholders
IT service management: towards a contingency theory of performance measurement
Information Technology Service Management (ITSM) focuses on IT service creation, design, delivery and maintenance. Measurement is one of the basic underlying elements of service science and this paper contributes to service science by focussing on the selection of performance metrics for ITSM. Contingency theory is used to provide a theoretical foundation for the study. Content analysis of interviews of ITSM managers at six organisations revealed that selection of metrics is influenced by a discrete set of factors. Three categories of factors were identified: external environment, parent organisationand IS organisation. For individual cases, selection of metrics was contingent on factors such as organisation culture, management philosophy and perspectives, legislation, industry sector, and customers, although a common set of four factors influenced selection of metrics across all organisations. A strong link was identified between the use of a corporate performance framework and clearly articulated ITSM metrics
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Towards evaluation design for smart city development
Smart city developments integrate digital, human, and physical systems in the built environment. With growing urbanization and widespread developments, identifying suitable evaluation methodologies is important. Case-study research across five UK cities - Birmingham, Bristol, Manchester, Milton Keynes and Peterborough - revealed that city evaluation approaches were principally project-focused with city-level evaluation plans at early stages. Key challenges centred on selecting suitable evaluation methodologies to evidence urban value and outcomes, addressing city authority requirements. Recommendations for evaluation design draw on urban studies and measurement frameworks, capitalizing on big data opportunities and developing appropriate, valid, credible integrative approaches across projects, programmes and city-level developments
A Model-Driven Approach for Business Process Management
The Business Process Management is a common mechanism recommended by a high number of standards for the management of companies and organizations. In software companies this practice is every day more accepted and companies have to assume it, if they want to be competitive. However, the effective definition of these processes and mainly their maintenance and execution are not always easy tasks. This paper presents an approach based on the Model-Driven paradigm for Business Process Management in software companies. This solution offers a suitable mechanism that was implemented successfully in different companies with a tool case named NDTQ-Framework.Ministerio de Educación y Ciencia TIN2010-20057-C03-02Junta de Andalucía TIC-578
Using the Asian Knowledge Model “APO” as a Determinant for Performance Excellence in Universities- Empirical Study at Al -Azhar University- Gaza
This study aims to use the Asian knowledge model “APO” as a determinant for performance excellence in universities and identifying the most effecting factors on it. This study was applied on Al-Azhar University in Gaza strip. The result of the study showed that (APO) model is valid as a measure and there are four dimensions in the model affecting significantly more than the others (university processes, KM leadership, personnel, KM outputs). Furthermore, performance excellence produced though modernizing the means of education, curriculum development, technology and flexibility in the organizational structure. The study recommends expanding the usage of (APO) model, enhancing the role of knowledge leadership, technology, organizational flexibility, sharing culture and incentive systems that encouraging innovation
Multichannel in a complex world
The proliferation of devices and channels has brought new challenges to just about every
organisation in delivering consistently good customer experiences and effectively joining up
service provision with marketing activity, data and content. A good multichannel strategy and
execution is increasingly becoming essential to marketers and customer experience
professionals from every sector. This report seeks to identify the key issues, challenges and opportunities that surround
multichannel and provide some best practice insight and principles on the elements that are
key to multichannel success. As part of the research for this report, we spoke to six
experienced customer experience and marketing practitioners from large organisations
across different sectors.
In Multichannel Marketing: Metrics and Methods for On and Offline Success, Akin Arikan
(2008) said:
‘Because customers are multichannel beings and demand relevant, consistent experiences
across all channels, businesses need to adopt a multichannel mind-set when listening to
their customers.’
It was clear from the companies interviewed for this report that it remains challenging for
many organisations to maintain consistency across so many customer touchpoints. Not only
that, but the ability to balance consistency with the capability to fully exploit the unique
attributes of each channel remains an aspiration for many.
The proliferation of devices and digital channels has added complexity to customer journeys,
making issues around the joining up of customer experience and the attribution of value of
key importance to many. Whilst senior leaders within the organisations spoken to seem to be
bought in to multichannel, this buy-in was not always replicated across the rest of the
organisation and did not always translate into a cohesive multichannel strategy. A number of companies were undertaking work around customer journey mapping and
customer segmentation, using a variety of passive and actively collected data in order to
identify specific areas of poor customer experience and create action plans for improvement.
Others were undertaking projects using sophisticated tracking and tagging technologies to
develop an understanding of the value and role of specific channels and to provide better
intelligence to the business on attribution that might be used to inform future investment
decisions.
A consistent barrier to improving customer experience is the ability to join up many different
legacy systems and data in order to provide a single customer view and form the basis for
delivery of a more consistent and cohesive multichannel approach.
Whilst there remain significant challenges around multichannel, there are some useful
technologies allowing businesses to develop better insight into customer motivation and
activity. Nonetheless, delivery of seamless multichannel experience remains a work-inprogress
for many
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