Smart city technology is only considered in some cities depending on the resident requirements, whereas smart initiatives are adopted easily in others. One of the first critical steps toward understanding these aspects of Malaysian smart cities is to empirically study the citizens’ and government agencies’ aspirations to use smart city services. A Malaysia Smart Cities Stakeholders Adoption Model (MSCSA) as a case study based on the unified theory of acceptance and use of technology (UTAUT2) is being developed and evaluated in Kuala Lumpur, Malaysia. An in-depth interview with expert staff from the Plan Malaysia smart city department and Telekom Malaysia Berhad (TM one) was conducted using a mixed-methods approach. To determine the influence of seven parameters on behavioural intentions, specifically the choice to build a smart city, quantitative data were collected as questionnaires. These parameters were self-efficacy, expected effort, perceived security, perceived privacy, price value, trust in government, and trust in technology. Citizens’ intentions to use smart city services were significantly influenced by each of these characteristics. There is a definite association between perceived privacy and perceived security as a core aspect of trust in technology, as well as price value, a core aspect of trust in government. When the trust in both these is strong, stakeholders are more willing to adopt and pursue smart city services. These studies provide city officials with a technique for measuring citizen desire for smart city services, as well as outlining the components necessary for establishing a good smart city strategy that is successful.

This paper examines the phenomena of the local government’s inadequate reaction to the national programme of geographical infrastructure for the effective sharing of spatial data in Malaysia. We investigate the determinants of sharing data for Malaysia’s spatial data infrastructure (SDI) and aim to define the model for spatial data-sharing of Malaysia’s local SDI. The main contribution of this paper is an explanation of the novel methodology to study factors that affect spatial data sharing including a new qualitative analysis method through an interview with people concerned in this field, including engineers, technicians and academics, which was undertaken in Kuala Lumpur, and a new methodology to identify the necessary approach that affects spatial data sharing. An interview and a questionnaire were used in this study as part of a sequential exploratory approach. Among land use, Plan Malaysia, and Telekom Malaysia Berhad TMOne, 15 participants were interviewed in-depth to obtain their responses, and 83 individuals took part in the survey questionnaires. Interview data were measured by content analysis, while questionnaire data were measured by partial least squares analysis. In the structural model analysis, Smart PLS was used to choose the fit items based on validity and reliability measurements. According to the hypothesis measurement, technology and organisation both significantly affect the practice of spatial data sharing, but human resources and spatial data do not significantly affect it. All R-Squared values represent a value above 56 per cent for the human resource aspect, technology aspect and spatial data aspect. However, the R-Square value for spatial data sharing is 47%. Spatial data and human resources have a less substantial impact on spatial data sharing; hence, this study proposes a national awareness programme and mentoring to improve local SDI support for spatial data sharing.

The development and expansion of economies depend heavily on entrepreneurship, and Malaysia is no exception. Understanding the underlying elements that impact the success or failure of user adoption behaviour of online shopping activities is significant since entrepreneurship is critical in driving economic growth and innovation. The study includes 73 articles published from 2004 to the last of 2023 from Science Direct, Scopus, Google Scholar, and Web of Science. We utilised qualitative methods and systematic review issues through the findings of “qualitative” studies as the last step inside a systematic review using Nvivo14. Our study’s result illustrated that applying the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) in Malaysian e-commerce validates the relevance of established theoretical frameworks. This study explores the relationship between 20 independent variables and five mediator factors, with dependent variables, e-commerce in Malaysia. The results highlight the intricate relationships between these variables and their importance for companies, decision-makers, and other stakeholders involved in Malaysian infrastructure financing. This review provides legislators, educators, researchers, and businesspeople with new knowledge in Malaysia so that decision-makers, investors, and aspiring entrepreneurs can make informed decisions.

Cities are currently dealing with major difficulties that no longer allow slight adjustments to the way cities operate. Instead, local officials must devise creative, transformative solutions. Fortunately, novel approaches to municipal administration and technological advancements are providing city officials with new and beneficial tools. As a result of these improvements, citizens, businesses, and other groups in the city will be able to actively participate in implementing the reforms. In a nutshell, technology can assist cities in becoming smarter. This paper highlighted the implications of the management challenges of cities, the types of cities, and the issues that cities face during epidemics. A coordinated approach that reacts to both COVID-19 and climate change is required to avoid negative outcomes from both. To figure out how Malaysian city administration works and how important information and communication technology is in Malaysian smart cities, it is important to look into technology and data opportunities.

Quality and food safety management (QFSM) presents significant concerns for developing countries worldwide. Researchers have not yet reached a consensus on the most complicated QFSM practices in the food industry. Our study aims to fill the research gap by visualising and analysing 537 articles on QFSM using Biblioshiny. Relevant publications from Dimensions, Scopus, and the Web of Science databases expose the current research status from 1982 to January 2024, without bias. We classified publications about Food Safety Management (FSM) and Food Quality Management (FQM) into four stages: the appearance stage (1982–1995), the stage towards increase (1996–2005), a rapid rise phase (2006–2014), and stable, rapid growth between 2015 and 2024. The review of QFSM recorded 5714 paper references and 1677 authors from 57 countries or regions. The most popular keywords are food quality, food industry, quality, and food safety management. China became the first in the group with 84 publications, while Belgium had the highest citations, with 738 total citations and 49.20 average article citations. The most productive institution is “Abu Dhabi Food Control Authority, Abu Dhabi, United Arab Emirates,” while Food Control is the most locally cited source. This study is the first to analyse QFSM resilience using biblioshiny. It is necessary to continue studying the strength of the food industry supply chain related to QFSM. The report identifies critical areas for improvement and future research to assist governments and businesses in developing adaptable food supply networks.