This study investigates the previous studies on successful digital transformation initiatives in government organizations and deduces the tangible and intangible benefits to showcase some real-life examples and evidence. This article provides a thorough evaluation of the available literature on successful digital transformation initiatives. It analyzes 53 important success elements grouped across seven dimensions, giving a conceptual framework for executing digital transformation in government organizations. The research identifies key success elements that are crucial for digital transformation, emphasizing the importance of clear planning, flexibility, agility, and robust data security measures. This study provides practical insights for organizations aiming to undertake digital transformation initiatives, highlighting strategies to overcome hurdles and maximize benefits. This study contributes a proposed conceptual framework and empirical evidence to guide academics, professionals, and decision-makers in effectively navigating and leveraging digital transformation in a rapidly evolving digital landscape.

Dubai, a popular vacation spot, has launched an initiative to reduce reliance on single-use plastic water bottles. Tourists in Dubai widely utilize PET (Polyethylene Terephthalate) water bottles, and significant quantities of greenhouse gases (GHG) are released during the production and disposal of PET bottles. In response to Dubai’s initiative, some hotels eliminated PET bottles and substituted them with environmentally favorable alternatives. These hotels are considered adopters of the initiative, while other hotels that might follow are imitators. Thus, innovation diffusion theory (IDT) is used in this work to forecast the transition of hotels to non-PET bottles. The diffusion of this new behavior is simulated using a system dynamic (SD) model, where factors pushing imitators to abolish PET bottles are found using the Delphi method and hotel surveying. Moreover, the importance of each identified factor is found using an analytical hierarchical process (AHP). Since hotels are divided into several categories based on their service quality, the analysis shows that hotels are affected by other hotels in their category or better categories. Using this conceptual understanding, Bass and generalized Bass modeling are used in the SD model to study how imitating hotels will follow the adopters. Best-, average-, and worst-case scenarios are studied to help decision-makers understand what to expect in the future. For the best- and average-case scenarios, the SD simulation shows that all hotels will potentially have abolished PET bottles in 25 years. However, only 16% of hotels will have cancelled PET bottles in 25 years if the worst-case scenario occurs; thus, decision-makers need to intervene to expedite the process.

In the current study, the researcher has analyzed the impacts of online and hybrid teaching practices on the academic performance of students in higher education institutions. The research provides a significant review of literature of the relevant past studies, in order to significantly cover the topic and also find out shortcomings and gaps in the previous research and studies. In this research, the researcher has implemented quantitative research method, deductive research approach, and positivist research philosophy resulting in detailed review of literature, hypotheses formulation, collection of primary data through survey and then quantitative analysis of that data with the help of the application of the tool SPSS and the correlation, regression, and ANOVA techniques. The impact of appropriate and comfortable places, extent of ease, online learning, online mode of course delivery, online classes attendance, reliance on the recorded sessions, enhanced concentration for the recorded lectures and recordings of the sessions for both hybrid and online courses on the academic performance of the students is significant. Furthermore, the impact of attending the classes along with watching the recordings has been found to be significant whereas, only watching the recording sessions has been found to be insignificant for impacting the academic performance of the students. The impact of only watching the recording sessions and problematic factors has been found to be insignificant for impacting the performance of the students.

The amount of created and captured data has been increasing rapidly. Since 2018, the amount of data generated and collected surpasses 90% of the data produced in the previous years. To meet the 2030 United Nations Economic Commission for Europe (UNECE) statistical agenda, National Statistics Organizations (NSOs) must meet the required amount of data demanded through the modernization of statistics. Relevant studies showed the implementation of official statistics with lean six sigma, resulting in a 5% operational budget reduction. Moreover, integrating official statistics with big data analytics produced more efficient and timelier statistics. However, in this industry 4.0 era, there is a lack of practices in the integration of big data tools and technique with the official statistics. The reason might be the uncertainty on the challenges and potential solutions. Therefore, this paper systematically reviews and analyses the critical challenges and potential solutions for the integration of big data analytics and lean six sigma into the processes of generating official statistics. A comprehensive and systematic literature review was conducted. Findings showed that the challenges of integrating big data are lack of proper infrastructure, data quality and data privacy. On the other hand, challenges of integrating lean six sigma are lack of management support, lack of common goal and the hierarchical organization structure. This paper will contribute to future work by using the identified challenges of integrating official statistics with big data analytics and lean six sigma to develop and propose a framework which overcomes the critical challenges and maximize the benefits.