Search results

This study aims to create actionable guidelines for pricing decision-making by employing game a theory matrix to forecast the correlation between the average daily rate and the latest ambiance of hotels.

Utilizing a vector error correction model, the research employs game theory to assess the influence of the average daily rate on the hotel's newest atmosphere during both peak season (April–September) and valley season (October–March).

Findings indicate that during the peak season, when the average daily rate rises in resorts and falls in suburban areas, the hotel’s newest atmosphere is at its best in both types of accommodations. During the off-peak season, the hotel’s newest atmosphere is achieved when both resorts and suburban accommodations increase their average daily rates.

There are two study constraints. One is the assumption that hotel guests in both parties prefer not to change hotels, but in fact they would. Two is a limited sample of two resort and suburban markets.

This suggests that the hotel’s newest atmosphere can draw both leisure and business travelers to suburban areas during the low season and more leisure travelers to resorts during the high season.

The study’s findings have implications for revenue related to the hotel’s newest atmosphere and cleanliness for both suburban and resort hotels, particularly when promoting tourism collaboratively.

The study provides valuable insights for hotel managers in analyzing pricing strategies using matrices.

In this paper, we aim to test the usefulness and contribute to the further development of analytical frameworks that guide research into integrated health and social care initiatives.

This study uses case studies based in decentralised administrative areas within the New South Wales state health system using (1) the Innovative Policy Supports for Integrated Health and Social Care Programs Framework, (2) the Consolidated Framework for Implementation Research and (3) the Framework on the Emergence and Effectiveness of Global Health Networks to assess the quality of international policies and/or strategies and integrated health and social care networks.

This study facilitates and advances integrated health and social care knowledge, moving from the study of local initiatives to a higher-level taxonomy of integrated care initiatives and exploring the emergence and effectiveness of global integrated care knowledge exchange networks. This paper proposes the use of three different frameworks to assess enhancement of the integrated health and social care using an array of multi-level innovation efforts as case studies.

This paper highlights the need for further research, and additional supports for formulating a single unified integrated health and social care framework that can assess innovations at multiple levels beyond local settings.

A stronger partnership with key stakeholders to enhance integrated health and social care research capabilities would be a feasible way to increase care and research capabilities in all sectors.

Health and social care clinicians, consumer representatives, service managers, policymakers and network knowledge partners must co-design a unified framework that better reflects the large multi-level agenda for integrated health and social care system change.

This novel study examines the level of integration of local space-based health and social care interventions, develops a taxonomy of local health district and/or primary care network integrated care initiatives to locate the “local” within a broader policy context and evaluates the quality of international policies and/or strategies and integrated health and social care networks.

This paper aims to assess the impact of digital financial innovation on financial system development in Common Market for eastern and Southern Africa (COMESA). This paper evaluates the dynamic relationship between digital financial innovation measures and financial system development using time series data from COMESA countries for the period 1997–2019.

A dynamic autoregressive distributed lag model (ARDL) was adopted and the mean group (MG), pooled mean group (PMG) and dynamic fixed effect (DFE) of the model were estimated to evaluate the short- and long-run impact. In addition, the dynamic generalized method of moments (DGMM) was adopted for a robustness check. The Hausman test results show PMG to be the most consistent and efficient estimator, while the coefficient of lagged dependent variable of different GMM is less than the fixed effect coefficient, and, as such, suggests system GMM is the most suitable estimator. Data for the study were sourced from World Bank Development Indicator (WDI, 2020), World Governance Indicator (WGI, 2020) and World Bank Global Financial Development Database (GFD, 2020).

The result shows that digital financial innovation significantly impacts financial system development in the long run. As such, the evidence revealed that automated teller machines (ATMs), point of sale (POS), mobile payments (MP) and mobile banking are significant and contribute positively to financial system development in the long run, while mobile money (MM) and Internet banking (INB) are insignificant but exhibit positive and inverse relationship with financial development respectively. Further investigation revealed that institutional quality and a stable macroeconomic environment including their interactive term are significantly imperative in predicting financial system development in the COMESA region.

Researchers recommend a cohesive and conscious policy that would checkmate the divergence in the short run and suggest a common regional innovative financial strategy that could be pursued to incentivize technology transfer needed to promote financial system development in the long run. More so, plausible product and process innovations may be adapted to complement innovative institutions in the different components of the COMESA financial system.

Digital financial innovation services if well managed increase the inherent benefits in financial system development.

To the best of the authors’ knowledge, this paper presents new background information on digital financial innovation that may stimulate the development of the financial system, particularly in the COMESA region. It also exposes the relevance of digital financial innovation, institutional quality and stable macroeconomic environment as well as their interactive effect on COMESA financial system development.