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Purpose – The purpose of this research is to know the public discovery of the concept of time value of money with economic value of time.

Design/Methodology/Approach – The method of research involved a causal research design in North Sumatera Province, Indonesia. The data used are primary data sourced from questionnaires distributed to 112 random respondents. Data were analyzed using the SEM method with Smart PLS software.

Findings – The results show that the public do not know exactly the application and the concept of “time value of money” and the economic value of time.

Research Limitations/Implications – The limitation of this study is that it was conducted on heterogeneous Medan city samples and did not extend to other cities in North Sumatra with large samples. The study has implications on the socialization of the community’s understanding of the concept of time value of money with the economic value of time.

Originality/Value – This study has value in that it compares the understanding of the society over the concept model of time value of money and the economic value of time.

The purpose of this paper is to analyze numerically the blowup in finite time of the solutions to a one-dimensional, bidirectional, nonlinear wave model equation for the propagation of small-amplitude waves in shallow water, as a function of the relaxation time, linear and nonlinear drift, power of the nonlinear advection flux, viscosity coefficient, viscous attenuation, and amplitude, smoothness and width of three types of initial conditions.

An implicit, first-order accurate in time, finite difference method valid for semipositive relaxation times has been used to solve the equation in a truncated domain for three different initial conditions, a first-order time derivative initially equal to zero and several constant wave speeds.

The numerical experiments show a very rapid transient from the initial conditions to the formation of a leading propagating wave, whose duration depends strongly on the shape, amplitude and width of the initial data as well as on the coefficients of the bidirectional equation. The blowup times for the triangular conditions have been found to be larger than those for the Gaussian ones, and the latter are larger than those for rectangular conditions, thus indicating that the blowup time decreases as the smoothness of the initial conditions decreases. The blowup time has also been found to decrease as the relaxation time, degree of nonlinearity, linear drift coefficient and amplitude of the initial conditions are increased, and as the width of the initial condition is decreased, but it increases as the viscosity coefficient is increased. No blowup has been observed for relaxation times smaller than one-hundredth, viscosity coefficients larger than ten-thousandths, quadratic and cubic nonlinearities, and initial Gaussian, triangular and rectangular conditions of unity amplitude.

The blowup of a one-dimensional, bidirectional equation that is a model for the propagation of waves in shallow water, longitudinal displacement in homogeneous viscoelastic bars, nerve conduction, nonlinear acoustics and heat transfer in very small devices and/or at very high transfer rates has been determined numerically as a function of the linear and nonlinear drift coefficients, power of the nonlinear drift, viscosity coefficient, viscous attenuation, and amplitude, smoothness and width of the initial conditions for nonzero relaxation times.

The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.

Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus.

The electricity costs of the bus route can be reduced by applying the optimal charging plans.

This paper produces a viable option for transit agencies to reduce their operation costs.

This survey explores the application of real options theory to the field of health economics. The integration of options theory offers a valuable framework to address these challenges, providing insights into healthcare investments, policy analysis and patient care pathways.

This research employs the real options theory, a financial concept, to delve into health economics challenges. Through a systematic approach, three distinct models rooted in this theory are crafted and analyzed. Firstly, the study examines the value of investing in emerging health technology, factoring in future advantages, associated costs and unpredictability. The second model is patient-centric, evaluating the choice between immediate treatment switch and waiting for more clarity, while also weighing the associated risks. Lastly, the research assesses pandemic-related government policies, emphasizing the importance of delaying decisions in the face of uncertainties, thereby promoting data-driven policymaking.

Three different real options models are presented in this study to illustrate their applicability and value in aiding decision-makers. (1) The first evaluates investments in new technology, analyzing future benefits, discount rates and benefit volatility to determine investment value. (2) In the second model, a patient has the option of switching treatments now or waiting for more information before optimally switching treatments. However, waiting has its risks, such as disease progression. By modeling the potential benefits and risks of both options, and factoring in the time value, this model aids doctors and patients in making informed decisions based on a quantified assessment of potential outcomes. (3) The third model concerns pandemic policy: governments can end or prolong lockdowns. While awaiting more data on the virus might lead to economic and societal strain, the model emphasizes the economic value of deferring decisions under uncertainty.

This research provides a quantified perspective on various decisions in healthcare, from investments in new technology to treatment choices for patients to government decisions regarding pandemics. By applying real options theory, stakeholders can make more evidence-driven decisions.

Decisions about patient care pathways and pandemic policies have direct societal implications. For instance, choices regarding the prolongation or ending of lockdowns can lead to economic and societal strain.

The originality of this study lies in its application of real options theory, a concept from finance, to the realm of health economics, offering novel insights and analytical tools for decision-makers in the healthcare sector.

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.

The purpose of this paper is to increase understanding about how to improve customer value and to make mobile banking services a profitable business for banks and other financial actors. The study explores the user experiences and related value of a new mobile banking service.

The study is implemented as a case study that is phenomenological in nature and linked to an interpretive consumer study. Empirical data were collected through 14 semi-structured theme interviews and a diary method. The data were analysed by using a content analysis method.

The findings illustrate the importance of customer centricity in the mobile banking context by identifying customer experience and related value in a new mobile banking service. The study extends current understanding of customer experience as a complex and multifaceted phenomenon by including value related to process, the use situation and the outcome, and it identifies temporality as influencing and connecting all these aspects. The study identifies several aspects that help us to understand what creates value for the customer while using mobile banking services.

As one limitation, this study was conducted in a developed country and the findings could be different in an emerging market context. Another limitation relates to the data, as the interviewees’ age range is quite limited, ranging between 20 and 40 years. However, they represent the consumers who normally use mobile services well and thus provide reliable data about their use experiences.

As the banking industry is currently experiencing rapid and widespread changes and customers become more demanding, it is crucial for banks and other mobile service providers to understand the everyday lives of their customers and to integrate their future services into the customers’ value creation processes as smoothly and inseparably as possible. The findings of this study will help banks and other financial institutions to develop their strategies and operations in regard to customer-oriented thinking, which will further help them to create long-term, profitable customer relationships and improve future viability.

The study contributes to bank marketing research and extends previous research on customer-centred service marketing by providing a framework that identifies the value related to customer experience in a new mobile banking service. It explores the experiences of actual mobile banking service customers’ and the related value, and thus provides original implications for both theory and practice.

This paper aims to better understand how business model innovation (BMI) occurs in the context of sustainable entrepreneurship, emphasizing the dialectical nature of entrepreneurial relationships. To do so, key interdependencies and reciprocal influences between internal/firm-specific and external/environmental factors underlying BMI for sustainability are analysed through co-evolutionary lenses.

A co-evolutionary framework is developed and applied to a longitudinal business model (BM) analysis of 15 Italian widespread hotels, which creatively use historic villages at risk of abandonment to establish their hotels.

Largely influenced by the interplay between internal and external factors, BMI of widespread hotels occurs through multilevel co-adaptations, which are recognised as virtuous by all stakeholders involved. Effective variations of the BM value elements are selected resulting in circular economy practices, which are retained for successful BMI, radical (first) and incremental (thereafter). Knowledge of specific local and multi-local conditions, time awareness and a future-oriented temporal perspective, by both entrepreneurs and policymakers, favour this dynamic.

Developing targeted policies and practices based on increased organisational knowledge supported by indicators can help in selecting and retaining successful variations of BMs appropriately in/with time with positive effects on firms' performance and sustainable development.

This study provides a novel co-evolutionary framework that explicitly links sustainable entrepreneurship and BM concepts in the accommodation sector. It further proposes a dynamic and holistic explanation of BMI for sustainability from which the crucial roles of the time-knowledge binomial and circular practices emerge.

This paper aims to determine what the brand performance consequences of corporate social responsibility (CSR) activities would be during times of recession for well-known brands.

Based on signaling theory, this paper investigates if CSR activities serve to signal higher brand value for consumers via perceptions of better quality and greater differentiation, specifically during recessions. This study incorporates a representative longitudinal sample of known US firms for the analyses, which is accomplished through generalized method of moments estimations.

The findings empirically demonstrate that CSR initiatives during recessions are actually associated with increased perceptions of brand value. More specifically, during recessions, CSR initiatives such as charitable contributions provide a signal to customers of higher brand quality.

This study did not control for the costs of doing specific CSR activities that may be less visible to consumers.

While individual firms or managers may not be able to prevent recessions from happening, they can limit the negative impact of recessions on their performance by engaging in CSR activities (or refrain from cutting back) during these times.

Because CSR initiatives during recessions result in more favorable consumer perceptions of the brand, engaging in CSR aligns both social and managerial interests, owing to the economic gains from CSR investments.

During times of recession, some critics indicate that CSR may be an unaffordable luxury. On the contrary, this research shows that managers may want to consider CSR activities as a means of increasing the value of their brands, especially during economic recessions.

The purpose of this paper is to develop a dynamic control method to improve bus schedule adherence under connected bus system.

The authors developed a dynamic programming model that optimally schedules the bus operating speed at road sections and multiple signal timing plans at intersections to improve bus schedule adherence. First, the bus route was partitioned into three types of sections: stop, road and intersection. Then, transit agencies can control buses in real time based on all collected information; i.e. control bus operating speed on road sections and adjust the signal timing plans through signal controllers to improve the schedule adherence in connected bus environment. Finally, bus punctuality at the downstream stop and the saturation degree deviations of intersections were selected as the evaluation criteria in optimizing signal control plans and bus speeds jointly.

An illustrative case study by using a bus rapid transit line in Jinan city was performed to verify the proposed model. It revealed that based on the proposed strategy, the objective value could be reduced by 73.7%, which indicated that the punctuality was highly improved but not to incur excessive congestion for other vehicular traffic.

In this paper, the authors applied speed guidance and the adjustment of the signal control plans for multiple cycles in advance to improve the scheduled stability; furthermore, the proposed control strategy can reduce the effect on private traffics to the utmost extend.

This paper presents a case study examining delivery service preference of electronic commerce products. With the increasing of electronic commerce and home shopping market, parcel delivery service market has been growing annually by more than 10% in Korea. However, the quality of delivery service and profitability are gradually decreased due to the price competition. A survey conducted by Korea Chamber of Commerce and Industry revealed that nearly half of the respondents selected delivery accuracy and time as major factors in delivery service, implying that online consumers consider service factors such as delivery time more important rather than delivery cost. In this research, a stated preference survey with 16 scenarios was conducted for online consumers to examine delivery preference depending on the type and value of products that they purchased online. The analysis results show that online consumers have a willingness to pay extra cost for rapid delivery or want lower price although it is much slow. It implies that current uniformed delivery cost of online products can be differentiated with different prices for different consumers and products. In addition, the study shows that different online products have different value of time, 27 won per hour on average.