Abayomi Oluwaseyi Ikumoro is a distinguished research scholar, who is currently pursuing his PhD at Limkokwing University of Creative Technology, Cyberjaya Malaysia. He completed his M.Sc Software Management and B.Sc. Information Technology from the same university in the year 2014 and 2016 respectively. In addition, Abayomi is a member of the Malaysian Institute of Management (MMIM) and Member of the Association for Information Systems (AIS). His research focuses on understanding the diffusion, acceptance and improvement of technologies adoption in organisation and society at large. One of his papers have been nominated and recognised as the “Best published paper” in 1st International Conference on Emerging Technology Phone: +6014-330-5474 Address: Inovasi 1, 1, Jalan Teknokrat 1/1, Cyberjaya, 63000 Cyberjaya, Selangor Malaysia
Introduction: The aim of this paper is to share the first author‘s online teaching experiences du... more Introduction: The aim of this paper is to share the first author‘s online teaching experiences during COVID19 pandemic. This paper was written in the first person – that is, the first author as he positioned himself within the case studies. I was engaged with students‘ cohorts using the software – Blackboard Collaborate Ultra live during semester 1, 2020 for (UG) and Trimester 2, 2020 for (PG) at the offshore campus of an Australia University in Malaysia. This paper is a reflective account of the (first author and students) in four undergraduate (UG) and one postgraduate (PG) teaching units during pandemic era. Methods: This reflective work on digital learning and teaching adopted a combination of extant literature, online resources, and personal experiences to demonstrate and reflect on engagement with UG and PG students to achieve specific learning outcomes. For this study five teaching units were involved and subsequently categorised into case studies to provide commentary and sh...
This research presents an overview of the global trends of personalized marketing along four dime... more This research presents an overview of the global trends of personalized marketing along four dimensions: personalization impact, preferred personalized marketing channel, challenges, and personalization drivers/benefits. Based on the analysis of the previously surveyed reports and article, the research presents a rich insight from two perspectives: the present and futuristic role of marketing professionals across industries and countries, as well as consumers' perceptions based on personalized marketing. The global result shows that the utilization rate of artificial intelligence powered chatbots is lagging across most industries and countries, except for travel and tourism industries. Furthermore, it is shown that the effectiveness of any personalized marketing depends largely on the access to quality data, data analytics, and automated technological solutions to help harness and integrate data from multiple channels. Taken together, the research findings consistently highlight the importance of personalized marketing to be for these: revenue growth, profits, customer loyalty and retention, and increasing customer lifetime value through engagement.
International Journal of Academic Research in Business and Social Sciences , 2019
Despite Industrial Revolution 4.0-related awareness, assessment, support, and training from the g... more Despite Industrial Revolution 4.0-related awareness, assessment, support, and training from the government and relevant agencies, the adoption rate of digital technologies usage is relatively slow. Such technologies include intelligence conversational agents/chatbots-artificial intelligence (AI)/virtual assistant, which are used by Malaysian small and medium enterprises (SMEs) in supporting their business operation in areas such as sales and marketing, conversational commerce, customer service support, data analytics, and organisation sustainable development. Therefore, this particular work explored the extrapolative elements for explaining the Malaysian SMEs intention to utilize intelligence conversational agents for an e-commerce system. The study was born out of the researcher’s enthusiasm to proffer measures that could motivate SMEs, which functioned as the country’s economic backbone, towards becoming accustomed to the rapid technological developments and evolving innovations advanced by digital technologies. In this research, the constructs of the unified theory of technology acceptance and use of technology (UTUAT) model were reviewed and synergised into the technology-organization environment (TOE) framework, with perceived cost and perceived technology security to propose an improved conceptual framework. The integrated conceptual framework proposed established 11 factors (i.e. employees technology know-how, performance expectancy, perceived relative advantage, perceived technology security, chief executive officer (CEO) and manager characteristics, perceived adoption cost, facilitating condition, social influence, hedonistic drives, and normative and mimetic pressures) in promoting and aiding future research, as well as serving as guidance for delineating and predicting the adoption of intelligence conversational agent among SMEs in Malaysia.
Institute of Research Engineers and Doctors (IRED), Jul 27, 2020
Introduction: The purpose of this study is to provide insights into emerging deployment of digita... more Introduction: The purpose of this study is to provide insights into emerging deployment of digital technology practices and sharing economy platform in the hospitality and tourism industry. As the digital technology displaces the traditional customer services and experience economy employees' work, it is imperative for those affected to understand the opportunities and threats of digital technology innovation on hospitality and tourism industry. Methods: Content analysis was utilized on relevant extant literature related to digital technology, disruptive digital innovation, robotics and artificial intelligence, sharing economy, collaborative economy, gig economy, platforms economy and fourth industrial revolution (IR 4.0) or industry 4.0. We identified 437-keyword counts, similar keywords were classified, combined and analysed. Results: Findings indicate digital technology praxis and sharing economy provide several opportunities in the management and advancing customer's experience in hospitality and tourism industry. These opportunities include meeting customer expectation, convenience and memorable experience, cost saving and staff skills development. Finding also suggests the application of robotics artificial intelligence (AI) system in the hotel industry. Specifically, AI assists hotel staff in creating a better quality service oriented for their guests. Findings uncovered threats such as increase in the number of unemployment rate, rising cost of operation due to frequent changes in technology, societal dystopia, safety and security concern, loss of economic and financial revenue to the government, prolong service failure and unsatisfactory service recovery. Conclusion: The novelty of this study is that hospitality and tourism industry service providers are not exempted from the consequences of digitalization of hospitality and tourism business operations.
Introduction: The aim of this paper is to share the first author‘s online teaching experiences du... more Introduction: The aim of this paper is to share the first author‘s online teaching experiences during COVID19 pandemic. This paper was written in the first person – that is, the first author as he positioned himself within the case studies. I was engaged with students‘ cohorts using the software – Blackboard Collaborate Ultra live during semester 1, 2020 for (UG) and Trimester 2, 2020 for (PG) at the offshore campus of an Australia University in Malaysia. This paper is a reflective account of the (first author and students) in four undergraduate (UG) and one postgraduate (PG) teaching units during pandemic era. Methods: This reflective work on digital learning and teaching adopted a combination of extant literature, online resources, and personal experiences to demonstrate and reflect on engagement with UG and PG students to achieve specific learning outcomes. For this study five teaching units were involved and subsequently categorised into case studies to provide commentary and sh...
This research presents an overview of the global trends of personalized marketing along four dime... more This research presents an overview of the global trends of personalized marketing along four dimensions: personalization impact, preferred personalized marketing channel, challenges, and personalization drivers/benefits. Based on the analysis of the previously surveyed reports and article, the research presents a rich insight from two perspectives: the present and futuristic role of marketing professionals across industries and countries, as well as consumers' perceptions based on personalized marketing. The global result shows that the utilization rate of artificial intelligence powered chatbots is lagging across most industries and countries, except for travel and tourism industries. Furthermore, it is shown that the effectiveness of any personalized marketing depends largely on the access to quality data, data analytics, and automated technological solutions to help harness and integrate data from multiple channels. Taken together, the research findings consistently highlight the importance of personalized marketing to be for these: revenue growth, profits, customer loyalty and retention, and increasing customer lifetime value through engagement.
International Journal of Academic Research in Business and Social Sciences , 2019
Despite Industrial Revolution 4.0-related awareness, assessment, support, and training from the g... more Despite Industrial Revolution 4.0-related awareness, assessment, support, and training from the government and relevant agencies, the adoption rate of digital technologies usage is relatively slow. Such technologies include intelligence conversational agents/chatbots-artificial intelligence (AI)/virtual assistant, which are used by Malaysian small and medium enterprises (SMEs) in supporting their business operation in areas such as sales and marketing, conversational commerce, customer service support, data analytics, and organisation sustainable development. Therefore, this particular work explored the extrapolative elements for explaining the Malaysian SMEs intention to utilize intelligence conversational agents for an e-commerce system. The study was born out of the researcher’s enthusiasm to proffer measures that could motivate SMEs, which functioned as the country’s economic backbone, towards becoming accustomed to the rapid technological developments and evolving innovations advanced by digital technologies. In this research, the constructs of the unified theory of technology acceptance and use of technology (UTUAT) model were reviewed and synergised into the technology-organization environment (TOE) framework, with perceived cost and perceived technology security to propose an improved conceptual framework. The integrated conceptual framework proposed established 11 factors (i.e. employees technology know-how, performance expectancy, perceived relative advantage, perceived technology security, chief executive officer (CEO) and manager characteristics, perceived adoption cost, facilitating condition, social influence, hedonistic drives, and normative and mimetic pressures) in promoting and aiding future research, as well as serving as guidance for delineating and predicting the adoption of intelligence conversational agent among SMEs in Malaysia.
Institute of Research Engineers and Doctors (IRED), Jul 27, 2020
Introduction: The purpose of this study is to provide insights into emerging deployment of digita... more Introduction: The purpose of this study is to provide insights into emerging deployment of digital technology practices and sharing economy platform in the hospitality and tourism industry. As the digital technology displaces the traditional customer services and experience economy employees' work, it is imperative for those affected to understand the opportunities and threats of digital technology innovation on hospitality and tourism industry. Methods: Content analysis was utilized on relevant extant literature related to digital technology, disruptive digital innovation, robotics and artificial intelligence, sharing economy, collaborative economy, gig economy, platforms economy and fourth industrial revolution (IR 4.0) or industry 4.0. We identified 437-keyword counts, similar keywords were classified, combined and analysed. Results: Findings indicate digital technology praxis and sharing economy provide several opportunities in the management and advancing customer's experience in hospitality and tourism industry. These opportunities include meeting customer expectation, convenience and memorable experience, cost saving and staff skills development. Finding also suggests the application of robotics artificial intelligence (AI) system in the hotel industry. Specifically, AI assists hotel staff in creating a better quality service oriented for their guests. Findings uncovered threats such as increase in the number of unemployment rate, rising cost of operation due to frequent changes in technology, societal dystopia, safety and security concern, loss of economic and financial revenue to the government, prolong service failure and unsatisfactory service recovery. Conclusion: The novelty of this study is that hospitality and tourism industry service providers are not exempted from the consequences of digitalization of hospitality and tourism business operations.
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propose an improved conceptual framework. The integrated conceptual framework proposed established 11 factors (i.e. employees technology know-how, performance expectancy, perceived relative advantage, perceived technology security, chief executive officer (CEO) and manager characteristics, perceived adoption cost, facilitating condition, social influence, hedonistic drives, and normative and mimetic pressures) in promoting and aiding future research, as well as serving as guidance for delineating and predicting the adoption of intelligence conversational agent among SMEs in Malaysia.
propose an improved conceptual framework. The integrated conceptual framework proposed established 11 factors (i.e. employees technology know-how, performance expectancy, perceived relative advantage, perceived technology security, chief executive officer (CEO) and manager characteristics, perceived adoption cost, facilitating condition, social influence, hedonistic drives, and normative and mimetic pressures) in promoting and aiding future research, as well as serving as guidance for delineating and predicting the adoption of intelligence conversational agent among SMEs in Malaysia.