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The purpose of this study is to address the extended travel time caused by dwelling time at stations for passengers on traditional rail transit lines. To mitigate this issue, the authors propose the “Non-stop” design, which involves trains comprised of modular vehicles that can couple and uncouple from each other during operation, thereby eliminating dwelling time at stations..

The main contributions of this paper are threefold: first, to introduce the concept of non-stop rail transit lines, which, to the best of the authors’ knowledge, has not been researched in the literature; second, to develop a framework for the operation schedule of such a line; and third, the author evaluate the potential of its implementation in terms of total passenger travel time.

The total travel time was reduced by 6% to 32.91%. The results show that the savings were more significant for long commutes and low train occupancy rates.

The non-stop system can improve existing lines without the need for the construction of additional facilities, but it requires technological advances for rolling stock.

To eliminate dwelling time at stations, the authors present the “Non-stop” design, which is based on trains composed of locomotives that couple and uncouple from each other during operation, which to the best of the authors’ knowledge has not been researched in the literature.

This paper aims to explore how employees reconceptualized their time and space to order and structure their lives in an unprecedented scenario of nonvoluntary work from home.

Set in the context of lockdowns due to the pandemic scenario, the study uses a constructivist approach to collect data through in-depth online interviews to understand how employees coped with the challenges emanating in a nonvoluntary work from home situation. The respondents were purposively selected to reflect a diverse pool in terms of gender, familial responsibilities and age/tenure.

The findings present temporal and spatial themes that provide several insights into how employees made sense of time and space as resources to navigate their challenging work-home roles.

In the present study, the authors found that when boundaries get violated, it does not necessarily manifest in the form of dissatisfaction with one or the other domain. The respondents in the current study show-cased adjustment mechanism to cope with the boundary permeability that happened. They adopted ways in which they could safe-guard their multiple identities in the situation they found themselves in, do justice to the salient roles in their lives, emerge as more empathetic humans and look forward to a brighter and more hopeful future. This opens-up a possibility of studying the theory behind human behavior in crisis-like situations and the degree of acceptance that people show when they find themselves in undesirable-unalterable situations.

A mental reorientation is required on the part of both employees and employers to navigate smoothly in this new “normal” and find more sustainable solutions to the problem if the remote working or hybrid mode of working becomes mainstay. Clear demarcations between work and nonwork time are a key element to ensure proper work schedules for remote workers. Offline meetings and get-togethers can be organized on a periodic basis to facilitate employee interaction and engagement. Participation of employees in key decisions becomes more important in such situations as it makes employees feel more connected with their work space.

To the best of the authors’ knowledge, the study is original as it is set in a completely unprecedented situation of lockdowns (during the pandemic) that affected the lives of everyone in some way or the other. The findings of the study are unique and insightful, as they help understand the sense-making mechanism adopted by people to successfully navigate through the crisis.

This paper aims to determine the significance of tourist walkability on three community-based tourism sustainability indicators, namely, the economic, social and environmental benefits and costs impacting community’s quality of life through the lens of the triple bottom line approach with the institutional theory.

This study views institutions as either enabling or restricting the sustainable community-based tourism because institutions influence resource integration and value assessment by the beneficiary. Moreover, institutions also lead the co-creation of sustainable community-based tourism among various stakeholders. Drawing on this conceptualisation, the notion of sustainable community-based tourism is filtered through the lens of institutional theory. Thus, this work approaches sustainable community-based tourism as a dynamic process of co-creating a tourist destination formed by different actors’ and institutions within the ecosystem of the tourist destination. Meanwhile, the triple bottom line benefits and costs experienced by the overall community would produce net effects on the residents’ perceptions of sustainable tourism.

This paper classifies both tangible and intangible costs and benefits because of tourist walkability and its triple bottom line trade-offs experienced by tourists and residents. This paper penetrates new grounds by reviewing the triple bottom line impacts of tourist walkability on residents’ quality of life. Government policies as mediating variable and national culture and individual personalities of tourists and residents as moderating variables were discussed. A conceptual framework named Tourist Walkability Sustainable Tourism Impact on Residents (TWSTIR) is proposed. Finally, a Sustainable Community-based Tourism Strategic (SCBTS) model which is based on the two dimensions of intensity of tourist walkability and residents’ quality of life is proposed.

Research limitations may include a lack of assessment on political, technological and legal issues, and therefore, future research is warranted in these three areas. Some emotions and attitudes of the residents may not be captured since the Gross National Index (Gross National Happiness) may have its inherent blind spots.

This paper would be of interest to the scholarly world, as its original idea and concluding research agenda are burrowing into a new sub-field of tourism research. In view of growth and degrowth of sustaining community-based tourism, the SCBTS model is presented to provide directions for tourism policymakers and entrepreneurs to formulate and implement appropriate strategy for the tourist walkability activity per se and investment in the accompanying infrastructure.

This paper also presents the sacrifices and inequities in the communities and the relevance of government policies, national culture and individual personalities of tourists and residents, in which the attention of tourism policymakers and the communities that thrive on the travel and tourism industry should not be neglected.

The idea and discussion of this paper is original. This paper burrows into a new sub-field of tourism research. Tourist walkability needs more attention from the scholars, as this tourist activity can have positive and negative effects on residents’ quality of life. The TWSTIR framework is developed to discuss the relationships of tourist walkability, triple bottom line concept and residents’ quality of life within the sustainable community-based tourism scope. The SCBTS model is presented for tourism policymakers and entrepreneurs to perform appropriate strategy for the tourist walkability activity and investment in the accompanying infrastructure.

Food delivery applications (FDAs) are becoming more and more well-liked across Generations X, Y and Z, with Asia experiencing the biggest growth. These three generations of consumers have distinct views toward using FDAs because they were influenced by various social environments, cultures and experiences. Therefore, marketers ought to present customers with various values. The purpose of this study is to investigate how the theory of consumption values (TCV) affects the intention of various generational cohorts to continued usage intentions.

Online surveys were distributed to 745 Thai customers who had previously ordered meals from FDAs to collect information. The data were analyzed using partial least squares structural equation modeling and multigroup analysis.

Results reveal that there are significant differences among Generations X, Y and Z, while emotional value is insignificant. Generation X is concerned about functional and conditional value, whereas Generation Y expresses the highest concern on epistemic and social value. Meanwhile, Generation Z pays attention to epistemic, functional and social value.

The novelty of this study contributes to TCV affecting the different FDAs consumption value among Generations X, Y and Z, while the previous research only focused on gender and age difference, and this study firstly combines FDAs with TCV to predict the consumers’ intention to continuously use FDAs in the post-COVID-19 outbreak.

The purpose of this paper is to investigate user satisfaction with digital health solutions by identifying and prioritizing different service attributes on the basis of their impact on improving user satisfaction.

Through a literature review and interviews with health professionals and patients, 20 attributes of digital health services provided in Italy have been identified. User satisfaction with these attributes has been evaluated by adopting the Kano model’s continuous and discrete analyses.

The findings reveal the essential attributes of digital health services that meet users' expectations, identify the attributes that users appreciate or dislike having and highlight unexpected attributes that lead to a significant boost in satisfaction when provided.

This study demonstrates the efficacy of the Kano model in assessing the nonlinear correlation between user satisfaction and the quality of digital health services, thus contributing to fill a gap in the literature in this area. The main limitation of this work is the use of a non-probabilistic sampling method.

This research suggests healthcare institutions and organizations consider user preferences when designing digital health solutions to increase their satisfaction. The results indicate different effects on user satisfaction and dissatisfaction for different categories of attributes in the Italian context.

Previous works studied customer satisfaction with digital health, assuming a linear relationship with service quality, or investigated consumer adoption intentions focusing on the technological factors. This work advances available knowledge by analyzing the nonlinear relationship between digital health attributes and users’ satisfaction and dissatisfaction.

This study explores the relationships among sustainability implementation barriers (resource, managerial and regulatory barriers), sustainability practices (sustainable construction materials, sustainable construction design, modern construction methods and environmental provisions and reporting) and sustainability performance (environmental, economic and social) in hill road construction (HRC).

Primary data were collected from the 313 HRC practitioners with the help of a questionnaire, and research hypotheses were tested employing structural equation modeling.

The findings reveal a mixed effect of sustainability implementation barriers. Resource (managerial) barriers are negatively related to all practices except environmental provisions and reporting (sustainable construction materials), while regulatory barriers only negatively impact modern construction methods. On the other hand, all sustainability practices positively impact environmental performance, whereas economic (social) performance is positively influenced by all practices, except environmental provisions and reporting (modern construction methods), and positively affects economic performance.

In order to transform HRC toward sustainability, the barriers to sustainability implementation, sustainability practices and performance need to be understood by practitioners; however, the relationships have not previously been empirically assessed in extant literature. Besides, past research appears to be predominantly focused on the environmental aspect, thereby neglecting economic and social aspects. This study is a modest attempt to bridge these research gaps.

The objective of this research work is to design a data-based solution for administering traffic organization in a smart city by using the machine learning algorithm.

A machine learning framework for managing traffic infrastructure and air pollution in urban centers relies on a predictive analytics model. The model makes use of transportation data to predict traffic patterns based on the information gathered from numerous sources within the city. It can be promoted for strategic planning determination. The data features volume and calendar variables, including hours of the day, week and month. These variables are leveraged to identify time series-based seasonal patterns in the data. To achieve accurate traffic volume forecasting, the long short-term memory (LSTM) method is recommended.

The study has produced a model that is appropriate for the transportation sector in the city and other innovative urban applications. The findings indicate that the implementation of smart transportation systems enhances transportation and has a positive impact on air quality. The study's results are explored and connected to practical applications in the areas of air pollution control and smart transportation.

The present paper has created the machine learning framework for the transportation sector of smart cities that achieves a reasonable level of accuracy. Additionally, the paper examines the effects of smart transportation on both the environment and supply chain.

This study aims to model tourist activities in a network and explore the properties of the network. Such network enables the author to explain and quantify how tourist activities are connected in determining tourist consumption as well as the organization of destination supply.

The author developed a network formation mechanism to create edges between nodes based on the joint probability of a pair of activities undertaken by tourists at a destination. By adjusting network sparsity, the author created an ensemble of four topologically similar networks for empirical testing. The author used tourist activity data of Hong Kong inbound tourists to test the network model.

The author found a robust hub–periphery topological structure of the tourist activity network. In addition, the network is featured by high clustering, short diameter and positive correlations between four node centralities, namely, degree, closeness, betweenness and eigenvector centralities. The author also generated the k-cores of the networks to further unravel the structure of hub nodes. The author found that the k-cores are dominated by tourist activities related to shopping or sightseeing, suggesting the high complementarity of these activities.

This study provides a different lens through which tourist consumption can be understood from a macroscopic angle by examining network topology and from a microscopic angle by examining node centralities.

To the best of the author’s knowledge, this is the first study attempting to model tourist activity and consumption in a network and explore the properties of the network. Not only has this study provided a new real-world network for network research, but it has also suggested an innovative modeling approach for tourist behavior research.

This paper seeks to understand kaizen in practice as it travels through time and space in the organisational setting.

A qualitative case study was carried out at a multinational company using mainly interviews for the data collection that were analysed from an actor-network theory (ANT) perspective.

This paper finds that the company deals with a series of paradoxes while managing the kaizen process. Efficiency and quality paradoxes are the basis for starting kaizen projects. Furthermore, intrinsic, and extrinsic motivation, emerge in these processes, and paradoxes relate to how spontaneous ideas emerge in a deliberated context of cost-saving objectives. The supply chain finance team coordinates kaizen projects with the collaboration of plant managers, promoting the paradox of autonomy and control. In addition, as kaizen mobilises and enrols the actors, some trials of strength emerge, showing actors who oppose the kaizen network and create competing networks that mutually exist in the firm.

This study presents valuable insights for professionals to successfully implement kaizen methodologies that take advantage of developing a network for problem-solving in organizations.

This study highlights the supply chain finance team's role in enrolling the actors within a network built by practitioners engaged in kaizen projects. Usually, engineers, quality, or manufacturing teams lead kaizen projects, and only occasionally, accounting and financial teams participate, including multidisciplinary teams.

The growth of the internet has transformed digital infrastructure in Thailand over the past two decades, with the widespread use of e-commerce, digital money and online services becoming a daily norm for all ages. The COVID-19 restrictions, which limited in-person business operations, boosted demand for takeout and delivery services and fueled the expected steady growth of the online food delivery market in Thailand. The pandemic also resulted in a shift towards online ordering and delivery, reflecting changes in customer behavior. This study focuses on exploring the factors that have driven Bangkokians to use online food delivery services after the COVID-19 restrictions were lifted in June 2022.

Data were collected from 398 participants who had ordered food delivery services after the announcement.

The findings showed that perceived usefulness, time saving benefit and price saving benefit have a significant impact on the intention of customers to use online food delivery services, while food safety risk perception had no effect.

Bangkokians favor online food delivery services due to convenience and time-saving, indicating high demand post-pandemic. Businesses should invest in improving their platforms to meet evolving consumer behavior.

The result of this study offers valuable insights into the attitudes and behaviors of Bangkokians towards online food delivery services and could be beneficial for businesses in the industry to improve their services, enhance customer satisfaction as well as increase their competitiveness.