Abstract:PurposeBeyond contributing to literature, research findings are expected to reinforce existing best practices while also serving as a springboard for formulating new and more efficient methods of undertaking economic activities. However, academic research is sometimes divorced from implementation and research findings are not always translated into practice. This study, therefore, assesses the impact of real estate research activities and findings on the practice of real estate surveying and valuation in Niger… Show more
“…In analysing the MS ranking, any score between 4.00 and 5.00 is deemed highly important, MS between 3.50 and 3.99 is deemed important, while scores below 3.50 are deemed unimportant (Oyedokun et al ., 2021).…”
PurposeWith the increased demand for the application of technology in property activities, there is a growing need for property professionals adept in using digital technology. Hence, it is important to assess the competence of academia in equipping property professionals with digital technology skills. This study, therefore, assesses property academics in Australian universities to identify their level of knowledge and use of digital technology applicable to the property industry.Design/methodology/approachOnline questionnaire surveys were administered to 22 out of 110 property academics contacted through the Australia Property Institute (API) database to achieve this aim. The collected data were analysed using mean score ranking and ANOVA.FindingsThe study found that apart from databases and analytics platforms such as Corelogic RP data, price finder and industry-based software such as the Microsoft Office suite and ARGUS software, the academics were not knowledgeable in most identified and sampled proptech tools. Similarly, most proptech tools were not used or taught to the students. It was also found that early career academics (below five years in academia) were the most knowledgeable group about the proptech tools.Research limitations/implicationsRelying on the API database to contact property academics potentially excludes the position of property academics who may not be affiliated or have contacts with API, hence, the findings of this study should be generalised with caution.Practical implicationsThe study bears huge implications for the property education sector and industry in Australia; a low knowledge and use of nascent tools such as artificial intelligence, machine learning, blockchain, drones, fintech, which have received intense interest, reveals some level of skill gap of students who pass through that system and may need to be upskilled by employers to meet the current day demand.Originality/valueIn response to the clamour for technology-inclined property professionals, this paper presents itself as the first to assess the knowledge levels and application of digital technology by property academics.
“…In analysing the MS ranking, any score between 4.00 and 5.00 is deemed highly important, MS between 3.50 and 3.99 is deemed important, while scores below 3.50 are deemed unimportant (Oyedokun et al ., 2021).…”
PurposeWith the increased demand for the application of technology in property activities, there is a growing need for property professionals adept in using digital technology. Hence, it is important to assess the competence of academia in equipping property professionals with digital technology skills. This study, therefore, assesses property academics in Australian universities to identify their level of knowledge and use of digital technology applicable to the property industry.Design/methodology/approachOnline questionnaire surveys were administered to 22 out of 110 property academics contacted through the Australia Property Institute (API) database to achieve this aim. The collected data were analysed using mean score ranking and ANOVA.FindingsThe study found that apart from databases and analytics platforms such as Corelogic RP data, price finder and industry-based software such as the Microsoft Office suite and ARGUS software, the academics were not knowledgeable in most identified and sampled proptech tools. Similarly, most proptech tools were not used or taught to the students. It was also found that early career academics (below five years in academia) were the most knowledgeable group about the proptech tools.Research limitations/implicationsRelying on the API database to contact property academics potentially excludes the position of property academics who may not be affiliated or have contacts with API, hence, the findings of this study should be generalised with caution.Practical implicationsThe study bears huge implications for the property education sector and industry in Australia; a low knowledge and use of nascent tools such as artificial intelligence, machine learning, blockchain, drones, fintech, which have received intense interest, reveals some level of skill gap of students who pass through that system and may need to be upskilled by employers to meet the current day demand.Originality/valueIn response to the clamour for technology-inclined property professionals, this paper presents itself as the first to assess the knowledge levels and application of digital technology by property academics.
“…This approach was considered appropriate because a wider coverage of the respondents can be reached simultaneously, and the data collected would be error-free to a large extent, thereby enhancing data reliability (Dix & Anderson, 2000). This data collection approach is common in the literature (Abidoye et al, 2019;Ameyaw & Chan, 2015;Oyedokun et al, 2021). The questionnaire contained four sections.…”
Section: Methodsmentioning
confidence: 99%
“…A similar approach has been adopted in previous studies (see Najib et al, 2011;Sawyerr & Yusof, 2013;Adewunmi et al, 2017;Poon, 2019). In analysing the MS, any score between 4.00 and 5.00 is deemed highly important, an MS between 3.50 and 3.99 is deemed important, and scores below 3.50 are considered unimportant (Oyedokun et al, 2021). In addition, the Chisquare (X 2 ) test was conducted to examine the statistical relationship that exists between selected student characteristics and student housing factors, i) the possibility of retaining their current accommodation next academic session, ii) the possibility of recommending their current accommodation to their friends and iii) overall satisfaction with their current accommodation.…”
Section: Figure 1: Research Process On International Students' Housin...mentioning
Housing is one of the critical components that support human existence. However, unequal access to housing is one of the challenges faced by international students. In an expensive city, such as Hong Kong, this issue is exacerbated by high rental cost and a limited supply of on-campus hostel facilities. Therefore, this study examines housing satisfaction among international students who are studying at Hong Kong’s universities, located in one of the most expensive cities in the world. Using the snowball sampling technique, data was collected from seventy-four international students of six nationalities studying at four universities in Hong Kong. Frequency distribution, mean score (MS) ranking and Chi-Square were adopted for the data analysis. The results show that 64% of the research participants reside off-campus and while the rest reside on-campus. Furthermore, a majority of the respondents strongly agreed that the support from the universities for international students in terms of scholarships and financial support to access housing first-year students is very important. The international students opined that the universities could provide more financial assistance and accommodation support to meet rising housing costs. The Chi-square test results indicate a significant relationship between the type of accommodation and overall satisfaction with accommodation, and a significant relationship between the age of the respondents and their choice to retain their accommodation. This study has some far-reaching implications for Hong Kong universities as they need to revisit the issue of accommodation and support provided to international students. Furthermore, there needs to be a consideration in increasing the student housing stock to assist international students.
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