Search results
1 – 10 of 726Judith Kelner, Pei-Chun Lin, Kelvin K.F. Tsoi, Zakaria Maamar, Patrick C.K. Hung, Dickson K.W. Chiu and Kevin K.W. Ho
Chia-Chen Chen, Patrick C.K. Hung, Erol Egrioglu, Dickson K.W. Chiu and Kevin K.W. Ho
Maruscia Baklizky, Marcelo Fantinato, Lucineia Heloisa Thom, Violeta Sun and Patrick C.K. Hung
The purpose of this paper is to present business process point analysis (BPPA), a technique to measure business functional process size, based on function point analysis (FPA)…
Abstract
Purpose
The purpose of this paper is to present business process point analysis (BPPA), a technique to measure business functional process size, based on function point analysis (FPA), and using business process model and notation (BPMN). This paper also discusses the assessment results of BPPA compared with FPA.
Design/methodology/approach
Two experimental studies with participants from academia and industry were conducted. The following aspects in the experimental studies were focused: similarity, application easiness, feasibility, and application benefits. The purpose of the experiment was to assess BPPA comparing with FPA as the BPPA design followed the FPA pattern.
Findings
Experimental results showed that both academia and industry groups highly rated similarity and application benefits for BPPA compared with FPA. However, only participants from industry highly rated BPPA for application easiness and feasibility. The results also showed that participants’ previous experiences did not influence their ratings on BPPA.
Originality/value
BPPA helps project managers to measure functional process size of business process management projects. As BPPA is derived from FPA, its mechanism is easily recognizable by project managers who are used to FPA. These results also show that both techniques are in most cases considered rather similar.
Details
Keywords
Bruno Sanchez de Araujo, Marcelo Fantinato, Sarajane Marques Peres, Ruth Caldeira de Melo, Samila Sathler Tavares Batistoni, Meire Cachioni and Patrick C.K. Hung
This review scopes evidence on the use of social robots for older adults with depressive symptoms, in the scenario of smart cities, analyzing the age-related depression…
Abstract
Purpose
This review scopes evidence on the use of social robots for older adults with depressive symptoms, in the scenario of smart cities, analyzing the age-related depression specificities, investigated contexts and intervention protocols' features.
Design/methodology/approach
Studies retrieved from two major databases were selected against inclusion and exclusion criteria. Studies were included if used social robots, included older adults over 60, and reported depressive symptoms measurements, with any type of research design. Papers not published in English, published as an abstract or study protocol, or not peer-reviewed were excluded.
Findings
28 relevant studies were included, in which PARO was the most used robot. Most studies included very older adults with neurocognitive disorders living in long-term care facilities. The intervention protocols were heterogeneous regarding the duration, session duration and frequency. Only 35.6% of the studies had a control group. Finally, only 32.1% of the studies showed a significant improvement in depression symptoms.
Originality/value
Despite the potential for using social robots in mental health interventions, in the scenario of smart cities, this review showed that their usefulness and effects in improving depressive symptoms in older adults have low internal and external validity. Future studies should consider factors as planning the intervention based on well-established supported therapies, characteristics and needs of the subjects, and the context in which the subjects are inserted.
Details
Keywords
Umair Rehman, Muhammad Umair Shah, Frank Danzinger, Tali Gazit, Patrick C.K. Hung and G. Zeynep Gurkas Aydin
Daniel M Chan, Albert P C Chan, Patrick T I Lam, Edward W M Lam and James M W Wong
Guaranteed maximum price (GMP) and target cost contracting (TCC) with a pain‐share/gain‐share arrangement have been adopted to integrate the construction delivery process and…
Abstract
Guaranteed maximum price (GMP) and target cost contracting (TCC) with a pain‐share/gain‐share arrangement have been adopted to integrate the construction delivery process and motivate service providers to seek continuous improvements in project outcomes. However, there is still a lack of research evidence to evaluate the levels of success and lessons learned from these innovative procurement strategies. Based on the analysis of a series of in‐depth interviews on the perceptions of various relevant experienced industrial practitioners, this paper aims to explore the key attributes of GMP/TCC including the underlying motives, perceived benefits, potential difficulties, critical success factors, key risk factors involved and optimal project conditions for adopting GMP/TCC. The research findings are useful in assisting key project stakeholders in minimising the detriments brought about by potential difficulties in and maximising the benefits derived from implementing GMP/TCC concepts. The study is also significant in contributing to new knowledge and practical information of GMP/TCC applications and implementation, in both a national and international context.
Details