Big data analytics (BDA) enhances knowledge and decision-making. Despite its importance, the connection between technical progress and political change is neglected in the administrative process. Most studies focus on e-government, e-governance, and how technology can improve existing operations of the bureaucracy. However, this article aims to explore the potential of BDA for public policy systems and provide a linkage for the transformation toward digital and smart governance using preferred reported items for systematic review and meta-analysis (PRISMA) approach to reveal the relevant documents and narrative review approach to interpret the application of BDA at each step of the public policy system. In addition, this study identifies several common public policy-related big data sources and techniques that could be used at the various stages of the public policy process. This study argues that BDA has the potential to be used for policy formulation in the four main phases—planning, design, service delivery, and evaluation. Most studies confirm its potential in the policy process for taxation, health, education, transportation, law, economy, and social system. This study reveals that it is also suitable for public policy execution stages, such as public supervision, public regulation, service delivery, and policy feedback. Previous studies have indicated that the application of BDA can transform traditional or manual governance systems into digital and smart governance. We contend that the policy cycle should be seen as a dynamic and iterative process characterized by continuous evolution. Though each step of transformation has its unique challenges in handling BDA and maintaining the Information and Communication Technology (ICT) infrastructure, it can ensure an accurate, prompt, and context-oriented public policy system. These insights provide a novel outlook on effectively managing the interplay between innovation and traditional approaches in the realm of public policy development.

Designing a digital marketing strategy that stimulates consumer engagement is vital and challenging for digital marketers. Despite previous research on this topic, little is known about the unpaid (organic) strategies of digital marketing and how they attract web traffic through consumer engagement. Based on the stimuli–organism–response model, this study examined the effects of three organic marketing practices related to electronic commerce shopping platforms, namely, search engine optimization, social media posts, and user-generated content, on consumer engagement. Covariance-based structural equation modeling was utilized to analyze 464 responses from followers of five electronic commerce firms’ Facebook fan pages. Based on the stimuli–organism–response paradigm, we found that organic marketing practices positively impact consumers’ behavioral engagement; however, consumers’ psychological engagement partially mediates these impacts. Further, consumers’ attention to social comparison of consumption dampens the positive effect of search engine optimization and psychological engagement on consumers’ behavioral engagement. The findings of this paper improve our understanding of the roles played by organic digital marketing practices in attracting consumer engagement and provide guidelines for digital marketers on how to utilize unpaid marketing strategies to attract authentic consumer engagement. This study presents a new framework in measuring the digital marketing strategies available to electronic commerce firms exploring unpaid marketing strategies.

Donations to articles on social media, as a new behavior, have been trending in recent years. Unlike donations to a charitable and nonprofit organization or victims, donations to social media articles have been accorded minimal attention from academic researchers. From the stimuli–organism–response framework, this study proposed a model to investigate the factors that influence the donation intentions of users on social media toward articles. Our results demonstrate that the credibility of the article determines users’ donation intentions. The results also indicate that the perceived value (usefulness and enjoyment) of the article mediates the effects of article credibility on users’ donation intentions. The social contagion nature of the article is also proven to moderate the magnitude of impacts on donation intention by users’ perceived usefulness, perceived enjoyment, and perception of article credibility.

This study investigates what drives consumer engagement in online-only omnichannel commerce, a topic often overlooked in favor of online-offline channel integration. Using both Partial Least Squares Structural Equation Modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA), it examines the role of key factors like information needs, shopping convenience, shopping innovation, channel integration quality, and integrated channel usability. The findings reveal that while each factor contributes to engagement, a combination of these elements is essential for achieving optimal results. This research advances understanding by applying a service-dominant logic framework to purely digital omnichannel contexts, offering practical insights for businesses aiming to enhance consumer engagement in online environments.

This study assesses the factors influencing of access to financial services (AFS) and its impact on fish farm economic performance by employing a multiple-stage random sampling approach to sample 131 fish farms from two regions in Ghana. We accounted for the selection bias issue using the endogenous treatment regression model. The results reveal that factors such asgender, education, fish farm size, asset ownership, off-farm work, and distance influence farmers' access to financial services. The result also showed that AFS improves fish farm economic performance. Moreover, we observe that female farmers and high-income households with access to financial services have higher fish yields and net returns than their counterparts. The study’s findings have provided evidence that AFS can be a transmission route in the efforts to enhance aquaculture development in the nation. Our results serve as a call to the government and policymakers to provide strategies and methods to make financial services accessibility easy and straightforward.