Rotimi Boluwatife Abidoye, Chibuikem Michael Adilieme, Albert Agbeko Ahiadu, Abood Khaled Alamoudi, Mayowa Idakolo Adegoriola
{"title":"评估澳大利亚大学房地产学者对房地产技术的了解和使用情况","authors":"Rotimi Boluwatife Abidoye, Chibuikem Michael Adilieme, Albert Agbeko Ahiadu, Abood Khaled Alamoudi, Mayowa Idakolo Adegoriola","doi":"10.1108/pm-10-2023-0100","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>With 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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>Online 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.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The 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.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>Relying 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.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>The 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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>In 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.</p><!--/ Abstract__block -->","PeriodicalId":46102,"journal":{"name":"Property Management","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the knowledge and use of property technology among property academics in Australian universities\",\"authors\":\"Rotimi Boluwatife Abidoye, Chibuikem Michael Adilieme, Albert Agbeko Ahiadu, Abood Khaled Alamoudi, Mayowa Idakolo Adegoriola\",\"doi\":\"10.1108/pm-10-2023-0100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>With 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.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>Online 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.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>The 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.</p><!--/ Abstract__block -->\\n<h3>Research limitations/implications</h3>\\n<p>Relying 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.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>The 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.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>In 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.</p><!--/ Abstract__block -->\",\"PeriodicalId\":46102,\"journal\":{\"name\":\"Property Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Property Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/pm-10-2023-0100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Property Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/pm-10-2023-0100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
摘要
目的随着在物业活动中应用科技的需求日益增加,对善于使用数码科技的物业专业人员的需求也与日俱增。因此,评估学术界在培养物业专业人员掌握数字技术技能方面的能力非常重要。因此,本研究对澳大利亚大学的房地产学者进行了评估,以确定他们对适用于房地产行业的数字技术的了解和使用水平。为实现这一目标,我们通过澳大利亚房地产协会(API)数据库联系了 110 名房地产学者,并对其中的 22 名进行了在线问卷调查。研究结果研究发现,除了 Corelogic RP 数据、价格搜索器等数据库和分析平台以及微软办公套件和 ARGUS 软件等基于行业的软件外,学者们对大多数已识别和抽样的物业技术工具并不了解。同样,大多数 Proptech 工具也没有被使用或教授给学生。研究的局限性/启示依赖于 API 数据库与房地产学者取得联系,可能会排除那些可能与 API 无关或没有联系的房地产学者,因此,应谨慎归纳本研究的结果。实践意义本研究对澳大利亚的房地产教育部门和行业具有重大意义;对人工智能、机器学习、区块链、无人机、金融科技等新生工具的了解和使用程度较低,这引起了人们的浓厚兴趣,揭示了通过该系统学习的学生在某种程度上存在技能差距,雇主可能需要提高他们的技能,以满足当前的需求。原创性/价值为了响应对技术型房地产专业人士的需求,本文首次对房地产学者的数字技术知识水平和应用进行了评估。
Evaluating the knowledge and use of property technology among property academics in Australian universities
Purpose
With 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/approach
Online 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.
Findings
The 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/implications
Relying 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 implications
The 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/value
In 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.
期刊介绍:
Property Management publishes: ■Refereed papers on important current trends and reserach issues ■Digests of market reports and data ■In-depth analysis of a specific area ■Legal updates on judgments in landlord and tenant law ■Regular book and internet reviews providing an overview of the growing body of property market research