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With the advancement of digital transformation, it is important for e-retailers to use artificial intelligence (AI) for customer engagement (CE), as CE enables e-retail brands to succeed. Essentially, AI e-marketing (AIeMktg) is the use of AI technological approaches in e-marketing by blending customer data, and Retail 4.0 is the digitisation of the physical shopping experience. Therefore, in the era of Retail 4.0, this study investigates the factors influencing the use of AIeMktg for transforming CE.

The primary data were collected from 305 e-retailer customers, and the analysis was performed using a quantitative methodology.

The results reveal that AIeMktg has tremendous applications in Retail 4.0 for CE. First, it enables marketers to swiftly and responsibly use data to anticipate and predict customer demands and to provide relevant personalised messages and offers with location-based e-marketing. Second, through a continuous feedback loop, AIeMktg improves offerings by analysing and incorporating insights from a 360-degree view of CE.

The main contribution of this study is to provide theoretical underpinnings of CE, AIeMktg, factors influencing the use of AIeMktg, and customer commitment in the era of Retail 4.0. Subsequently, it builds and validates structural relationships among such theoretical underpinning variables in transforming CE with AIeMktg, which is important for customers to expect a different type of shopping experience across digital channels.

The study aims to determine the the optimal value of output parameters of a variable compression ratio (CR) diesel engine are investigated at different loads, CR and fuel modes of operation experimentally. The output parameters of a variable compression ratio (CR) diesel engine are investigated at different loads, CR and fuel modes of operation experimentally. The performance parameters like brake thermal efficiency (BTE) and brake specific energy consumption (BSEC), whereas CO emission, HC emission, CO₂ emission, NO_x emission, exhaust gas temperature (EGT) and opacity are the emission parameters measured during the test. Tests are conducted for 2, 6 and 10 kg of load, 16.5 and 17.5 of CR.

In this investigation, the first engine was fueled with 100% diesel and 100% Calophyllum inophyllum oil in single-fuel mode. Then Calophyllum inophyllum oil with producer gas was fed to the engine. Calophyllum inophyllum oil offers lower BTE, CO and HC emissions, opacity and higher EGT, BSEC, CO₂ emission and NO_x emissions compared to diesel fuel in both fuel modes of operation observed. The performance optimization using the Taguchi approach is carried out to determine the optimal input parameters for maximum performance and minimum emissions for the test engine. The optimized value of the input parameters is then fed into the prediction techniques, such as the artificial neural network (ANN).

From multiple response optimization, the minimum emissions of 0.58% of CO, 42% of HC, 191 ppm NO_x and maximum BTE of 21.56% for 16.5 CR, 10 kg load and dual fuel mode of operation are determined. Based on generated errors, the ANN is also ranked for precision. The proposed ANN model provides better prediction with minimum experimental data sets. The values of the R² correlation coefficient are 1, 0.95552, 0.94367 and 0.97789 for training, validation, testing and all, respectively. The said biodiesel may be used as a substitute for conventional diesel fuel.

The blend of Calophyllum inophyllum oil-producer gas is used to run the diesel engine. Performance and emission analysis has been carried out, compared, optimized and validated.

The purpose of this paper is to assess the digital transformation of students' reading preferences and behaviors, considering the significant impact of digital resources accessible through the internet among allied health students.

The researchers used a structured questionnaire to collect data. The study focused on undergraduate allied health students from medical universities in Pakistan. The researchers used a convenient sampling technique. Data analysis was performed using statistical software packages R and SPSS.

The results indicate that allied health students frequently use databases, e-books and e-journals to fulfil their academics and research needs, aiding in the acquisition of up-to-date information and supporting various academic research pursuits. The study emphasizes the positive effects on the reading habits of allied health students, attributing these improvements to factors such as enhanced online databases, a broader array of materials and the integration of digital tools. However, challenges arise from the limited availability of relevant e-resources and the dispersion of information across various library sources.

This study provides valuable insights into the availability and utilization of e-resources among allied health students in Pakistan. It highlights the crucial role that digital resources play in shaping reading behaviors within the educational landscape. This study holds significance as it contributes to educational enhancement, proves beneficial for the improvement of university library resources and services and aids in the development of policies in health-care education.

This study aims to delve into the effectiveness of applying traditional and more advanced digital means to document elements of cultural heritage, in this case large-format cartography. Application of multimethod digitalisation to a school map of the American continent dating to the early part of the 20th century has served to address specific issues, notably its multilayers consisting of paper, inks and a protective varnish on a textile medium. Its large format is likewise an obstacle to its digital capture.

The method applied here resorted to three registration systems: single-shot photography, panoramic photography and photogrammetry. The first two widely serve to capture works of large-format, whereas the third is commonly used to record volumetric assets. A variety of parameters were applied, notably different focal lengths, capture methods and processing software. The images obtained in each case were subjected to qualitative and quantitative comparisons so as to analyse their differences in terms of resolution and accuracy when compared to the map's real measurements, key criteria when duplicating cartographic documents.

Although the final products gleaned from the digital photographs, panoramic photographs and photogrammetry fulfil the basic functions required to record documents housed in archives, libraries, museums and other cultural institutions, this study highlights new advances and complementary functions stemming from certain of these techniques.

Digitalisation is a tool that serves to register, preserve, disseminate and analyse cultural heritage. However, some of the available techniques have rarely been applied specifically to graphic and documentary artefacts. It is for this reason that this study intends to demonstrate their utility in the detailed study of this heritage typology. Moreover, optimising the school map into a digital form favours its dissemination and remote consultation while simultaneously minimising direct manipulation, hence improving its long-term preservation.

To analyze the quality of transitional care for patients with COVID-19 at discharge from Brazilian university hospitals.

A cross-sectional descriptive study was carried out in five Brazilian university hospitals between April and December 2021. The sample consisted of 527 participants. Data collection consisted of a sociodemographic questionnaire and the Care Transitions Measure (CTM-15), a care transition assessment instrument, which was translated and validated in Portuguese.

Most participants were patients (n = 369; 70.0%), with primary school completion (n = 218; 43.4%), multiracial (n = 218; 43.5%) and with an income of up to two minimum wages (n = 182; 42.8%). Dimension 1 – management preparation – obtained the highest score (71.2 points, SD = 16.5), while Dimension 4 – care plan – obtained the lowest score (62.2 points, SD = 23.4). Among the participating hospitals, there was a difference in the overall mean with results ranging from 67.0 to 72.9 points.

A satisfactory quality of care transition was found, considering the context of a pandemic. The main weaknesses in the care transitions were related to the care planning after hospital discharge.

This study aims to investigate the impact of stakeholders’ nonfinancial resources (NFRs) on companies’ profitability, filling a significant gap in the literature regarding the role of NFRs in value creation.

Data from 76 organizations from 2017 to 2019 were collected and analyzed. Four primary NFRs and their key value drivers were identified, representing core elements that support different dimensions of a company’s performance. Statistical tests examined the relationship between stakeholders’ NFRs and financial performance measures.

When analyzed collectively and individually, the results reveal a significant positive influence of stakeholders’ NFRs on a firm’s profitability. Higher importance assigned to NFRs correlates with a higher return on sales.

This study contributes to the literature by empirically bridging the gap between stakeholder theory and the resource-based view, addressing the intersection of these perspectives. It also provides novel insights into how stakeholders’ NFRs impact profitability, offering valuable implications for research and managerial practice. It suggests that managers should integrate nonfinancial measures of NFRs within their performance measurement system to manage better and sustain companies’ value-creation process.

Sustainability and accessibility of education are the main purposes of educational institutions. Higher education institutions (HEIs) have been addressing these concerns through their distance education departments for years. Especially during and after the COVID-19 pandemic, HEIs encountered challenges related to productivity, escalating costs and decreasing user satisfaction with distance education. This study proposes the integration of new and suitable information technologies (ITs) into the steps of lean management (LM) implementation. It suggests that this approach will be highly effective and beneficial, providing solutions to the problems above in higher education (HE) field. The study aims to highlight the effectiveness and benefits of incorporating new and suitable ITs into the application stages of LM principles. Sample applications in HE will be provided to enhance understanding.

A model is introduced for researching new ITs and incorporating appropriate ones in the application steps of LM. This model has been applied and analyzed in two case studies at Gazi University for a more comprehensive understanding.

When examining periodic surveys and usage statistics from case studies, it becomes evident that implementing LM with the support of ITs reduces waste and enhances the quality of existing work. The success observed in the case studies was notably influenced by managers’ proficiency in business processes, experience in ITs, managerial skills and support from senior management.

This case study provides a roadmap and step-by-step implementation of LM with IT support for HEIs. The implementation process and results will also be guiding for other sectors.

There is a notable absence of significant studies on integrating ITs, which have become crucial in today’s context in the stages of LM implementation. This study is envisioned as a pioneering endeavor to address this gap in the literature. Notably, challenges exist in applying LM principles outside production sectors, and limited research has been conducted. This study aims to pave the way for further research in diverse fields by conducting a comprehensive case study in the realm of HE.

The objective of this article is to analyze the relationship between absorptive capacity, entrepreneurial orientation, and performance within Brazilian federal state-owned companies.

Primary data were obtained using survey research. Secondary data were obtained using the Federal State-owned Companies Bulletin and the website State-owned Companies Overview. Tested and validated scales were selected to reflect Absorptive Capacity (ACAP), Entrepreneurial Orientation (EO), and Organizational Performance (OP) variables applied to a sample of 119 managers and advisors of federal state-owned companies. Structural Equation Modeling techniques were applied to identify the statistical significance of the direct, indirect, and total effects. The final measurement and structural model presented convergent and discriminant validity with acceptable adjustment indexes.

ACAP was found to be directly related to the ability to identify, recognize, transform, and especially implement new knowledge. EO is related to the institution’s ability to take risks, be proactive, and innovate. Those are fundamental processes for fulfilling the mission of state-owned companies, for their survival, and for improving the quality of public services provided to society. These findings differ from studies carried out in private companies since the ACAP-exploration dimension in private businesses displays a relevant relationship between the factors composing EO, a feature not observed here.

The paper’s main contribution is to confirm the influence of ACAP on EO and EO on OP, considering the environment of Brazilian federal state-owned companies. Such results expand the scarce academic studies on absorptive capacity, entrepreneurial orientation, and performance in the public area, in addition to offering perspectives of specific training direction to expand the competencies of public managers.

Project bundling is an innovative practice that groups or bundles several infrastructure projects into a single contract. While project bundling has various benefits, agencies are facing some challenges when bundling their projects, including properly assessing the feasibility (or infeasibility) of project delivery methods (PDMs) of interest. More specifically, project owners face the challenge of properly selecting between traditional and alternative PDMs for their bundled projects. Although some research efforts were devoted to providing guidelines in relation to different aspects related to project bundling, no previous study was conducted to help project owners performing PDMs-related feasibility analysis for bundled projects, which differ from normal, singly delivered projects. To fill this knowledge gap, this paper develops a decision-support tool that assists agencies in deciding whether they should select a traditional or alternative PDM (i.e. whether to go with the Design-Bid-Build (DBB) PDM or not) for their bundled projects.

An analytical methodology comprised of four main steps was followed in this paper. First, an expert survey was developed and distributed to industry experts to quantify the importance of 25 project bundling objectives. Second, principal component analysis was used to determine the weights for the different project bundling objectives. Third, a series of statistical tests was implemented to identify different feasibility tiers. Fourth, a user-friendly decision-support tool was developed, and its capabilities were demonstrated.

The results showed that six tiers exist to classify the feasibility (or infeasibility) of traditional PDMs (i.e. the DBB method) for bundled projects. The research outcomes have also reflected that the following five project bundling objectives contribute the most to making traditional PDMs (i.e. the DBB method) more feasible for bundled projects: (1) Having well-defined design features; (2) Requiring prior knowledge or experience with similar project size and scope; (3) Completing the overall project on schedule; (4) Keeping rate of expenditures within cash flow plan; and (5) Acquiring specific legislative, regulatory and jurisdictional requirements early on.

This research adds to the body of knowledge by equipping agencies and project owners with a decision-support system that helps them identify whether traditional or alternative PDMs are more appropriate for the specific objectives of their bundling program(s). By making the right PDM decision, project owners can enhance their bundling practices (especially in relation to the PDM proper selection) and ultimately the performance of their bundled projects.

Against social cognitive and social exchange theories, this research paper aims to investigate the significance and interaction between perceived knowledge, involvement, trust and brand community engagement in brand communities (BC).

BC participants (n = 503) completed a cross-sectional survey for this research. Analysis was performed using PLS-SEM via SmartPLS (v. 4.1.0.2) and the novel Necessary Condition Analysis (NCA).

An integrative KITE model with positive and significant relationships of key BC constructs was established. The perceived BC knowledge influenced involvement and engagement. Furthermore, the constructs of involvement and trust were discovered to have a positive and significant impact on engagement, with trust having a substantial effect on BC engagement. The indirect effects of the trust construct via the BC knowledge and BC involvement constructs were also significant.

This research advances the existing conceptual approaches by introducing knowledge as the key BC constructs. The study illustrates that members’ knowledge about a BC facilitates their involvement in the BCs. The vital role of trust is revealed in the KITE model, as it is significantly related to BC knowledge, BC involvement and BC engagement with at least medium to large effect sizes. Notably, the role of trust is enhanced as it is the only necessary must-have (instead of “should-have”) condition to achieve high levels of BC engagement. Furthermore, the KITE model provides insights for marketers to develop a valuable BC.