Mobile Collaboration Technology in Engineering Asset Maintenance – What Technology, Organisation and People Approaches Are Required?

Engineering asset maintenance consists of coordinated activities and practices for retaining or restoring a piece of equipment, machine, or system to specified operable conditions to achieve its maximum useful life. An integrated high-level maintenance comprising multiple sub-systems requires the collaboration of many stakeholders including multiple systems and departments. Several of specialised technical, operational and administrative systems have been invested by engineering asset organisations to enhancing their asset management and maintenance systems, however there is no common ground among engineering asset organisations about what are collaborative maintenance are required for adoption/implementation. The lack of systematic approach, together with the lack of specific requirements to implement mobile collaborative maintenance requests a comprehensive framework for guiding engineering organisation to implement of new mobile technologies that meet all maintenance collaboration requirements. This research proposes to develop an appropriate mobile collaboration framework based on Delphi and Case Study investigation. Keywords: Mobile technology, Collaboration, Engineering asset, Framework

Key Data and Information Quality Requirements for Asset Management in Higher Education: A case Study

Data and information quality (DIQ) is a critical issue for effective asset management in modern higher education (HE) sectors. Managing DIQ is essential to any asset management program. Problems with data quality can result in a number of unpredictable negative consequences. Several studies have provided strong evidence to indicate that most of HE institutions have DIQ problems. DIQ has recently been brought to the forefront and has become a pressing issue. This is particularly important in an environment where HE institutions begin to share their information systems with their stakeholders such as suppliers and business partners. Moreover Universities have millions of digital assets, thousands of users, hundreds of policies, many departments and stakeholders, and just one goal that is easy, affordable digital asset management that works the way everyone expects it to work. In such an environment, knowledge on how to manage the quality of the information asset has become very crucial in order to support the HE development. This paper describes a study, which explores DIQ problems with existing HE’s asset management system, and identifies key factors that impact on DIQ. The study applies a DIQ issues for asset management in a preliminary case study of a large HE institution in Makassar, Indonesia. The findings of the study suggest that the importance of DIQ issues for effective asset management in HE needs to be widely understood. The paper also provides recommendations that may be useful to HE managers/practitioners. Keywords: (DIQ), (HE

Students’ Adoption of Mobile Learning: An Investigation in Indonesia Higher Education

Mostly, mobile technologies are adopted and used without critical examination of how they help students learn. Nowadays, mobile learning (m-learning) becomes principally imperative challenge for the contemporary higher education management. The aim of this study therefore, is to explore requirements that could influence the students’ adoption of m-learning. By employing The Unified Theory of Acceptance and Use of Technology (UTAUT) and two other potential factors, which are perceived playfulness and self-management of learning, an empirical based framework will be developed to identify adoption requirements of mobile learning. This study involves the university students of Universitas Negeri Makassar as respondents using both email and online-based questionnaire. It is expected that this study will be providing both a theoretical and practical contributions for m-learning adoption and should be of interest to both researchers and practitioners across higher education sectors, particularly in Indonesi

A Conflictive Triuvirate Consruct of Epidemiologic Systems Failure

Epidemiologic systems failure (ESF) is a major hurdle in minimizing the spread of infectious diseases during outbreaks. The reasons for ESF include the technical limitation of personnel handling epidemic crises, strictly defined health policies that limit the actions of epidemiologists, and personal perspective\u27s reservations towards the intentions of health agencies. The purpose of this triumvirate mixed-methods case study was to examine factors of infectious disease control mechanisms useful for determining ESF. Three juxtaposed pre-emptive factors (technical [T], organizational [O], and personal [P] perspectives were used to determine how the multiple perspectives inquiring systems and fuzzy logic revealed factors causing ESF so that remedial tools may be constructed. The juxtaposed ESF-TOP model formed the research theoretical framework and allowed for clustering the ESF factors. Data sources were direct quotations from TOP based secondary data of 4 well-publicized participants; who had Ebola, HIV-AIDS, Tuberculosis, or Typhoid disease; and randomized quantitative TOP hypothetical data sets were created with Microsoft Excel software and used to model an Ebola outbreak of 10 theoretical subjects. Data were analyzed using TOP guidelines from which T, O, and P perspective themes emerged. The findings indicated that a disjointed TOP perspective specifies a serious ESF, a strictly overlapped TOP indicates an effective containment of ESF, and the overall fuzzy set with T given O and P indicates the actual ESF. The findings may result in positive social change by helping epidemiologists identify critical outbreak control factors which may minimize the outbreak impact

A Conflictive Triuvirate Consruct of Epidemiologic Systems Failure

Epidemiologic systems failure (ESF) is a major hurdle in minimizing the spread of infectious diseases during outbreaks. The reasons for ESF include the technical limitation of personnel handling epidemic crises, strictly defined health policies that limit the actions of epidemiologists, and personal perspective\u27s reservations towards the intentions of health agencies. The purpose of this triumvirate mixed-methods case study was to examine factors of infectious disease control mechanisms useful for determining ESF. Three juxtaposed pre-emptive factors (technical [T], organizational [O], and personal [P] perspectives were used to determine how the multiple perspectives inquiring systems and fuzzy logic revealed factors causing ESF so that remedial tools may be constructed. The juxtaposed ESF-TOP model formed the research theoretical framework and allowed for clustering the ESF factors. Data sources were direct quotations from TOP based secondary data of 4 well-publicized participants; who had Ebola, HIV-AIDS, Tuberculosis, or Typhoid disease; and randomized quantitative TOP hypothetical data sets were created with Microsoft Excel software and used to model an Ebola outbreak of 10 theoretical subjects. Data were analyzed using TOP guidelines from which T, O, and P perspective themes emerged. The findings indicated that a disjointed TOP perspective specifies a serious ESF, a strictly overlapped TOP indicates an effective containment of ESF, and the overall fuzzy set with T given O and P indicates the actual ESF. The findings may result in positive social change by helping epidemiologists identify critical outbreak control factors which may minimize the outbreak impact