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To solve the problem, a mathematical model is proposed; it relies on a directed acyclic graph (DAG), in which arcs are used to indicate whether a pair of appointments can be assigned to the same route or not (and so to the same care worker). The proposed model aims at minimizing the personnel required to meet daily demand and balancing workloads among the workers while considering the varying traffic patterns derived from traffic congestion.

This paper aims at providing solution approaches for addressing the problem of assigning care workers to deliver home health-care (HHC) services, demanding different skills each. First, a capacity planning problem is considered, where it is necessary to define the number of workers required to satisfy patients' requests and then, patients are assigned to the care workers along with the sequence followed to visit them, thus solving a scheduling problem. The benefits obtained by permitting patients to propose multiple time slots where they can be served are also explored.

The results indicate that the problem can be efficiently solved for medium-sized instances, that is, up to 100 daily patient requests. It is also indicated that asking patients to propose several moments when they can receive services helps to minimize the need for care workers through more efficient route allocations without affecting significantly the balance of the workloads.

This article provides a new framework for modeling and solving a HHC routing problem with multiskilled personnel. The proposed model can be used to identify efficient daily plans and can handle realistic characteristics such as time-dependent travel times or be extended to other real-life applications such as maintenance scheduling problems.

In order to effectively serve diverse communities, an organization must first create an internal culture of empathy and acceptance. An organizational read can be an opportunity to create this culture as well as create times, spaces, and experiences to transfer knowledge and build community beyond an organization on a topic of importance that has an impact on the communities it serves. The University of Tennessee Libraries' 2019 organizational read program featured Robin DiAngelo's book White Fragility: Why It's So Hard for White People to Talk About Racism, which helped create diversity conversations to enable personal changes that facilitated more effective engagement. This chapter provides an overview of the Libraries' organizational read, including its structure and evaluation, and discusses the success of the program in building community engagement and outreach. Examples are shared regarding how the program has impacted the Libraries' outreach efforts to three new communities, as well as details for future iterations and plans for the program to continue to expand beyond the Libraries. Ideas are provided for adapting the program to other types of communities that want to build bridges for change.

Based on social cognitive theory, this study aims to analyze the impact of fear of failure on entrepreneurs’ growth aspirations, the moderating role of collectivist institutional culture and the differences between emerging and developed countries.

Using the Global Entrepreneurship Monitor and the Global Leadership and Organizational Behavior Effectiveness databases for 27 developed and 15 emerging countries, and Global Leadership and Organizational Behavior Effectiveness, the authors apply multilevel model with individual-level and country-level variables.

The fear of failure has a negative impact on growth aspirations and that impact differs between developed and emerging countries. One of the main conclusions is that collectivist culture mitigates the negative impact of fear of failure on growth aspirations, and that this result is significant only in emerging countries.

The authors introduce a boundary condition for this study’s predictions, showing that in emerging countries, contrary to developed countries, the moderator effect of cultural context contributes to growth aspirations, despite the entrepreneur’s fear of failure.

To analyze the role of technologies in digital transformation (DT) and innovative business models (IBMs) in the financial industry (FI) from the perspective of strategic stakeholders.

A systematic literature review (SLR) was conducted with articles written between 2008 and 2023, utilizing Scopus, Web of Science, ScienceDirect and Wiley databases.

The adoption of innovative technologies, digital platforms and automation was identified as the key outcome. The connection between stakeholder involvement and technologies in DT is emphasized. A theoretical framework integrating DT into organizational objectives is proposed.

The study presents limitations in the selection of databases and suggests a deeper exploration of stakeholder involvement.

This systematization resulted in the framework presented in figure 6, comprising strategic elements that can be used as a managerial tool by managers seeking to internalize the principles of DT.

This paper aims to compare the efficiency of spatial and nonspatial hedonic price models in capturing housing submarkets dynamics for cities in developing countries. This study expects to contribute to a better understanding of the housing price determinants from both nonspatial and spatial perspectives. In addition, this paper fills a gap in the literature on the study of housing prices from a spatial perspective in Latin American cities.

This study uses a comparative analysis between an ordinary least squares regression and a geographical weighted regression, GWR. The study also assesses the performance of two distinct data sources: the city’s cadastral records and a real estate sales web portal.

The results suggest that compared to the traditional regression model, the spatial regression models are more effective at capturing housing market variations on a fine scale. Moreover, they reveal interesting findings on the spatial varying, sometimes contradictory effects of some housing attributes on housing prices in different areas of the city, suggesting the potential impact from segregation.

The availability of data on housing prices and characteristics in Latin American cities is fragmented and complex. The level of detail, granularity and coverage is not consistent over time. For this reason, this study combines and compares data sets from official and unofficial sources in an effort to close this gap. Likewise, the socioeconomic variables that come from the census must be carefully analyzed, knowing the historical context in which they were constructed, what they represent and their interpretation.

This paper suggests that despite the improvement on the spatial models, the selection of a specific one should always be based on the diagnosis of it as it highly depends on the data used and the objectives of the study.

This study enriches the limited body of literature on spatial hedonic price models of housing in Latin American cities. It also shed light on the importance of spatial approaches to identify complex housing submarkets.

The purpose of this paper is to present a strategic management framework for a successful digital transformation (DT) roll-out aimed at enabling organisational resilience. The study aims to identify the critical areas of consideration for management to strategically approach DT in order to build resilience.

The research study is based on the 3Ps framework: (1) people (culture, capabilities, engagement and well-being), (2) processes (systems) and (3) plant (technological infrastructure and tools). The research methodology is a qualitative study comprising semi-structured in-depth interviews, conducted with industry experts in different sectors undergoing major digital disruptions such as financial services, mining, oil and gas, energy and retail.

The research findings show that the successful roll-out of an organisation’s DT is largely driven by the people elements incorporating organisational culture, workforce skills and training and employee well-being. It also highlights that it is critical for organisations to invest in technological infrastructure, once the people elements have been addressed, as they are the drivers of technology implementation.

A bigger and broader sample size can validate the elements and structure of the DT framework in South Africa.

The study’s discussion unlocks understanding about: (1) what are the key enablers for successful DT; (2) what hinders organisations from realising the value of digital investments and (3) a strategic framework for the digital roll-out.

Technology is impacting employees at both a personal and professional levels. Ensuring that DT rollouts are strategical implemented lowers the impact on technostress and strengthens resilience.

The value and practical implication of this study is that the developed strategic framework can be used by managements to enable the smooth adoption of DT toward building organisational resilience in developing countries such as South Africa with low digital maturity.

Immersive technologies fully immerse users in augmented environments for interactive experiences. The purpose of this study is to measure consumers’ intention towards experiencing immersive technologies at tourism destinations using an integrated theory of planned behaviour (TPB) and technology acceptance model (TAM) model within the stimulus-organism-response (S-O-R) framework, including motivation (MOT), trust (TR) and perceived risk (PR).

The survey data was collected through convenience sampling via an online questionnaire, with a sample size of 487 Indians. Structural equation modelling was conducted using SPSS and AMOS software for data analysis, ensuring a robust examination of the proposed model and its relationships.

Virtual interactivity and social interaction influence both attitude and perceived behavioural control. Attitude, perceived behavioural control, perceived usefulness and TR significantly influence intention. However, MOT, PR and perceived ease of use do not exhibit a significant influence on intention. These findings highlight the importance of these variables in shaping consumers’ intention towards experiencing immersive technologies at tourism destinations.

The findings hold significant implications for various stakeholders, including government agencies, travel firms, content creators and software developers. They can leverage these insights to enhance marketing strategies, develop immersive tourism experiences, innovate in the realm of Web 4.0 and personalize tourism offerings.

This study offers a distinctive contribution by integrating the S-O-R framework with TPB and TAM, while also incorporating key factors such as MOT, TR and PR. This novel approach provides a fresh perspective on consumer behaviour towards immersive technologies.

The main objective of this research is to analyze the dynamics of academic research on digital entrepreneurship and innovation, unveiling the main research trends developed in the last decade.

The analysis has been carried out using a dual methodological approach comprising bibliometric methods and an innovative three-level systematic review, involving the analysis of the most used keywords, the co-occurrence network of keywords and a traditional review of the abstracts of the 1713 peer-reviewed articles that make up the database under study, with the aim of revealing and discussing the most important research trends developed in the period analyzed.

The results reveal seven major research trends that underscore the fundamental role of digital platforms in democratizing innovation, enabling a more inclusive and collaborative environment wherein startups, established firms, academia and government entities converge to drive technological advancements and societal progress. Additionally, the pressing need for a holistic understanding of digital technologies' potential to spur economic growth, societal progress and sustainable development is highlighted, as well as the challenges posed by privacy, security and the digital divide.

This research has been developed using an innovative methodology, and contributes to the academic discourse by providing a comprehensive overview of the current state and prospects of digital entrepreneurship and innovation for policymakers, entrepreneurs and researchers, urging a collaborative effort to harness the benefits of digital transformation in an equitable and responsible manner, fostering an environment of innovation that is conducive to the sustainable growth of the digital economy.

Digital transformation provides a new impetus for the development of declining firms. However, there is currently a lack of sufficient research on whether digital transformation is beneficial for the turnaround of declining firms. This paper aims to explore the relationship between digital transformation and the turnaround of declining firms.

Drawing on the theoretical foundations of the resource-based view and dynamic capabilities theory, this research uses a comprehensive dataset of Chinese A-share listed companies from 2010–2021 to explore the influence of digital transformation on the turnaround of declining firms.

The research findings show that digital transformation contributes to the turnaround of declining firms. Mechanism analyses demonstrate that digital transformation enhances dynamic capabilities and attracts more analysts, thereby facilitating the turnaround process. Moreover, the moderation analysis reveals that CEO equity incentives strengthen the positive correlation between digital transformation and the turnaround of declining firms. Heterogeneity analysis indicates that the association between digital transformation and the turnaround of declining firms is particularly significant for firms with low financing constraints and high-tech firms. Moreover, this research reveals that digital transformation can facilitate the turnaround of firms in deep and long-term decline.

This research contributes to the literature on the digital transformation of enterprises and provides important insights for the turnaround of declining firms.