Search results

This study aims to examine the role of the tourism marketing mix (TMM) and the perceived quality of tourism services on tourist satisfaction and loyalty intention in marine tourism in East Java, i.e. beaches. In addition, this study also examines the impact of financial literacy on loyalty intention.

The sample consists of 320 tourists who were visiting the beach. Data was collected using the accidental sampling technique. Moderated structural equation modelling (MSEM) was registered as the analytical tool used in this study.

The results of the study show that the innovation and renovation carried out on beach tourism during the rejuvenation stage had an impact on increasing tourist visits. The TMM and the perceived quality of tourism services provided significantly increased tourist satisfaction and loyalty intention. In addition, financial literacy is found to be an important factor in promoting tourists’ loyalty intention.

As mentioned in the conclusion, there are just a dim number of prior research that are able to back up the argument of the role of financial literacy in instigating suboptimal financial behaviour and performance in the context of tourism behaviour, especially highlighting the loyalty intention. Not to mention that prior research is not specifically intended in the tourism field, which makes it hard to extend the argument while structuring the literature review and developing the hypothesis.

This study is mainly important due to its emphasis on financial literacy on its role in promoting tourists’ loyalty intentions, as it found that financial literacy holds a critical role while there is barely any existing literature that focuses on this topic.

This study examines how market orientation (MO) affects hotel performance through the value-based marketing innovation intermediate function.

:Structural equation modeling-partial least squares (SEM-PLS) analyses are performed to assess the proposed research model on a sample of 166 three-to-five-star hotels located in six provinces of Java Island, Indonesia.

The findings indicate that MO influences value-based marketing innovation and hotel performance. Additionally, it was demonstrated that value-based marketing innovation mediates the indirect link between MO and hotel performance.

This research encourages the managers of hotels to adopt MO as the company's culture and to pay close attention to value-based marketing innovation to recognize the potential benefit of MO in hotel performance enhancement.

This research focuses on unifying MO and resource-based view into a cohesive approach to better understand the link between MO and value-based marketing innovation and how both aspects affect hotel performance.

This research aims to provide a predictive model assessment on the effect of information sharing on fresh produce supply chain (FPSC) performance during the COVID-19 pandemic by incorporating information quality as an important part of information sharing, as well as cognitive and affective appraisals as part of a social learning process (mediators) into the model.

An online survey was conducted on 197 small fresh produce (fruits and vegetables) retailers in Indonesia during the COVID-19 pandemic. The data were analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM) particularly PLSpredict supported by SmartPLS 4 software.

This research reveals that information sharing is positively and significantly associated with information quality and that the two constructs are not directly associated with FPSC performance. The path analysis suggests that the effect of information sharing on FPSC performance is fully mediated by cognitive and affective appraisals to the information-sharing activity. It also suggests that the effect of information quality on FPSC performance is fully mediated by affective rather than cognitive appraisal. This model shows a high predictive power and highlights the pivotal role of the learning process during the COVID-19 pandemic.

This research is the first to employ a predictive model assessment in PLS-SEM to empirically predict the effect of information sharing on FPSC performance using a social learning perspective, particularly in the context of the COVID-19 pandemic.

European justice systems are facing a dramatic performance crisis due to the frequent inability to resolve cases without incurring unreasonable delays and backlogs. In this framework, the Italian Judicial system places itself well below the European countries average, in terms of speed of resolution of administrative, civil and criminal trials. The purpose of the paper was to (1) identify factors affecting Italian judicial system efficiency and (2) identify potential actions to manage them, improving judicial system efficiency.

In order to achieve the aims of this paper, a systematic review to map all critical factors discussed in previous studies was performed. Studies were extracted from Google Scholar, Web of Science and SSRN databases. In total, 22 studies were included.

The identified factors of inefficiency of the Italian judicial system have been divided into three macro-classes depending on whether they concern human resource management, the judicial process or whether they pertain to internal or external outside the judicial organization. For each of these, possible strategies have been developed in a new conceptual framework.

The framework seeks to assist policymakers in forming policy measures that can significantly increase court effectiveness. This is the first attempt to review and map all factors affecting judicial system efficiency systematically, providing a new conceptual framework to manage them.

This study explores digital transformation in the tea supply chain within developing economies, with a focus on smallholder tea producers in Sri Lanka. Tea is one of the most widely consumed beverages in the world. Among the tea producers, smallholder tea producers account for a substantial portion of total tea production in several countries. Mobile phones play a significant role in providing smallholder producers with access to crucial agricultural information, markets and financial services.

This study adopts a deductive approach, analysing mobile phone ownership, literacy, experience and perception among smallholder tea producers. The chi-squared test of independence and hierarchical clustering methods were used to test the hypotheses and address the research questions.

The study identifies four clusters of smallholder tea producers as Basic Tech Adopters, Digital Laggards, Skeptical Feature Phone Users and Tech-savvy Adopters based on their characteristics towards mobile-based technologies. Approximately 75% of the surveyed sample, which included both tech-savvy and basic-tech adopters, showed a positive attitude toward adopting mobile-based agricultural technologies.

The study suggests developing targeted strategies and policies to enhance the productivity of the smallholder tea production process in developing economies. The study highlights the importance of awareness, access, affordability and availability when implementing digital services for businesses at the base of the pyramid, such as tea smallholdings in developing economies.

The present study aims to address the lack of data-driven empirical studies on the use of mobile phones in smallholder settings. The findings of this study enable the enhancement of entrepreneurship within the tea production supply chain, especially, within stakeholders who deliver digital transformation support services.

Innovation enables growth and helps address social challenges. This research aims to identify evidence that can characterize an innovative university based on its university management. Thus, the authors define the following research problem: How to measure innovation in a Higher Education Institution (HEI) that intends to be innovative based on its university management?

To this end, the authors conducted a literature review, with a qualitative approach, as well as a case study with data collection through the documental analysis of research that was carried out with the community, namely: Undergraduate Students Profile survey, Reputation of the Institution and Innovation Octagon.

The authors noticed that the results presented by Innovation Octagon show an increase in most indexes, mainly Processes and People, followed by Leadership, Strategy, Relationships and Funding. However, there was a reduction in Structure and Culture.

The results point to the relevance of measuring innovation in the institution, mainly through the use of the Innovation Octagon. The longitudinal measurement of innovation in the institution enables the management of the HEI to constantly progress and develop in favor of the society’s demands for the training of competent professionals for their future professional reality.

Few studies utilize insurance sector data to analyze how insurers' competitiveness affects their risk-taking decisions. To fill the research gap, this study aims to investigate the relationship between insurers’ competitiveness and risk-taking decisions.

This study employs unbalanced panel data for the US property-liability insurance companies from 2006 to 2019. Two-Stage estimation is applied to address the endogeneity issue, such as the Two-Step Generalized Method of Moments, General Two-Stage Least Square and Two-Stage Quantile Regression.

The regression analysis reveals that insurers' competitiveness in their risk-taking decisions is primarily negative. The finding suggests that insurers with low (high) competitiveness tend to take more (less) risk. This study sheds light on how insurers with low competitiveness may alter their risk preference, supporting the fundamental argument of the prospect theory, the CEO hubris argument, the risk-return theory and the risk-sensitivity theory.

The critical findings of this study provide policy implications when evaluating and drafting insurance legislation. Regulators must pay close attention to insurers' riskier decisions while insurers with low competitiveness or during periods of economic recession.

This research contributes to the literature by assessing whether insurers' competitiveness influences their risk-taking decisions. The empirical findings suggest that insurers with low competitiveness take on greater risks to gamble for survivability and boost profits to strengthen their financial standing. The evidence indicates that insurers may risk-seeking or irrational decision-making when facing a competitive disadvantage.

School teachers had difficulty in monitoring and assessing the students during the COVID-19 lockdown. This study attempts to understand the assessment and teaching challenges during COVID-19 and how this problematic situation was reshaped by new normal teaching.

The qualitative research included perspectives of 84 school teachers using an interview-based approach. Pedagogical assessment, societal assessment and personal assessment were considered in the study.

Content switching, student involvement and individual assessment are the challenges in terms of pedagogy. Buying power of electronic equipment, digital skills, study environment and distraction are the challenges faced in terms of personal challenges. Personal connect and interaction intensity is the challenges faced in terms of social challenges. Teachers adapted to synchronous, blended, flipped and asynchronous modes of teaching.

The authors’ study will support schools in developing their institutional plans to understand teachers' apprehensions better and to check the readiness of the schools towards teaching and learning approaches.

The paper aims to investigate the cardiology department’s operational system for improving flexibility by minimizing the patient waiting time and simultaneously maximizing the utilization of service capacity in an uncertain environment. This article also proposes a policy framework that suggests a pool of additional resources and inter-firm collaboration can boost healthcare service delivery excellence.

A discrete event simulation (DES) approach is followed for modeling patient flow and determining the service capacity to respond to demand variability and uncertainty. The model's outputs are used to minimize patient waiting time, maximize the utilization of the resources and match the service capacity with the patient demand.

This research has tested two hypotheses and proved that an increase in waiting time decimates the throughput rate, and additional resources deployment in bottleneck activity positively impacts the throughput rate. The simulated scenarios prescribe an enhanced service capacity with quality care and further contribute to operational performance in reduced waiting time and cost. The results indicate that flexibility reduces the patient waiting time and maximizes the throughput rate.

The study guides the healthcare policymakers to develop flexible competence and facilitate service mechanisms that are adaptive and robust while operating under a volatile environment. The article contributes to the healthcare literature that conjoins flexibility through simulation and resource utilization.

This research is based on real-life primary data collected from healthcare providers. This study adds value to the healthcare systems to adopt strategic decisions to build flexibility through resource allocation, sharing and coordinated care.