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Motivated by consumers' concerns about water resources, this paper studies the interactive impact of advertising efforts and water-saving on corporate profits in apparel supply chains. Moreover, this study attempts to find an effective way to improve the profit of supply chain members under different game scenarios. Therefore, this study explores the game scenarios with considering the cost-sharing contract.

This paper constructs two basic game models considering different market power in the apparel supply chains, and explores the Pareto improvement combined with cost-sharing contracts based on the basic models. Furthermore, this study extends the models by considering cost-saving and non-linear demand.

In this paper, it can be found that advertising efforts and water-saving have complex interactive relationships. Counter-intuitively, the increase in advertising efforts may increase water savings. Furthermore, it presents a Pareto improvement when considering cost-sharing contracts, and both the manufacturer and the retailer's profits may improve simultaneously. Moreover, it does not affect the main conclusions when consider the effects of cost-saving and non-linear demand.

Although some important findings have been reached, this paper can be extended in many ways in the future. For example, the coordination mechanism among supply chain members can be considered and the fair distribution of profits can be studied. Moreover, the influence of the government policies on the optimal strategy, as well as changes in social welfare can be considered.

This study offers supply chain members the guidelines on coordinating water-saving investment and advertising efforts which provided new insight into the interaction of these two factors in the apparel supply chains. Moreover, it can provide a coordination mechanism for the supply chain members to improve their profits.

This paper explores the interactive relationship between water-saving and advertising efforts. It can not only save more water resources but also enable consumers to enjoy more environmentally friendly apparel products.

The current literature mainly focuses on the impact of advertising efforts on firm profit. However, this paper studies the interaction between advertising efforts and water-saving in apparel supply chains. Furthermore, this study explores the optimal pricing strategies and Pareto improvement by considering cost-sharing contracts. It can provide theoretical and practical guidance for the decision-maker in deciding on advertising and water-saving investment.

Cost overruns remain a persistent problem in the construction industry. Although various cost management strategies have been implemented, innovative approaches are still required. Therefore, the authors attempted to introduce and test a new cost management strategy for the construction industry.

Zero-based budgeting (ZBB) is one such method whose effectiveness has been proven in different industries over many years. Therefore, the authors initially developed two different frameworks related to the integration of ZBB into a multinational construction contractor and the application process of ZBB for a construction project in this study. Then, the effectiveness and feasibility of the proposed frameworks are tested via an actual field study in a mega construction project.

The results show savings of 0.81% of the total project budget and 4.74% of the focused cost items by following the ZBB framework compared to the traditionally estimated project budget. The feedback received from the employees in the construction company shows that ZBB could be efficiently implemented during ongoing construction projects.

The authors believe that implementing new cost management strategies such as ZBB will open doors to deal with the complex cost overrun issues and improve construction cost performances.

This manuscript is the first actual application of the ZBB cost management approach in the construction industry.

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.

The aim of this study reported in this paper was to explore the application of operational excellence methodologies in a global context.

A qualitative interview approach was used to understand the current state, benefits, challenges, success factors, tools and techniques of operational excellence methodology implementation with relevance to logistics companies worldwide. About 16 interviews were undertaken with practitioners working in leading companies and with leading academics in Asia, Europe, Africa, North America, South America and Australia.

The findings show that operational excellence methodologies including Lean, Six Sigma, Lean Six Sigma and Agile can apply in logistics firms to improve operations and productivity and save costs. Top management support and involvement play an important role in the success of operational excellence projects in the logistics service.

The findings will be of interest to top and middle managers and logistics practitioners, with a dual aim of improving logistics performance and saving costs.

The present study has been one of the first global study attempts to explore the implementation of operational excellence methodologies in the logistics sectors.

Africa has been identified as an area where higher mortality happens due to un-accessibility to health care, drugs and other health facilities. Nigeria, as one of the African countries, is not excluded from such difficulties. This study aims to examine the determinants of efficient last-mile delivery at selected health facilities and the Kaduna State Health Supplies Management Agency (KADSHMA).

The study sourced data from KADSHMA and the health facilities’ staff, with a total of 261 observations used. Likewise, the respondents were picked from warehouses of each health facility and KADSHMA. The data was analysed using the partial least square structural equation modelling analysis to estimate the relationship among the variables of the study.

The study’s findings revealed that all five variables of the study (i.e. determinants) were significantly affecting the efficient last-mile delivery. Four constructs (delivery cost [DC], delivery time [DT], mode of delivery [MD] and facilities technology [FT]) have shown a positive and significant association with efficient last-mile delivery, whereas one variable (product mix [PM]) indicated a negative and significant association with efficient last-mile delivery. The study concludes that DC, DT, MD, FT and PM played significant roles in efficient last-mile delivery.

The study provides that specific means of transportation should always be on standby to transport health supplies. Time schedules should always be prepared and adhered to when transporting health supplies to the facilities, and each facility should network with robust technology to ease communication in terms of order and order planning. Additionally, facilities should try as much as possible to reduce the varieties of products when ordering health supplies, as it will increase the efficiency of the delivery.

To the best of the authors’ knowledge, this study is the first of its kind that considered these five variables (DC, DT, MD, FT and PM) with impact on the last-mile delivery in one model, especially in the Nigerian case. This is a great contribution to knowledge, more importantly, to the last-mile delivery of the health sector. The result confirmed the importance of these determinants (DC, DT, FT and PM) of last-mile delivery efficiency in saving lives.

The purpose of this study is to investigate the adoption of cloud computing as a digital technology by small and medium enterprises (SMEs) and assess its impact on sustainability of such enterprises.

A model was developed that featured factors influencing SMEs sustainability. Primary quantitative data was gathered using a survey as an instrument. Total set of n = 387 responses were gathered using a convenience sampling method.

Findings reveal that cost reduction, ease of use, reliability and sharing and collaboration factors have significant statistical impacts on SMEs sustainability, whereas privacy and security factor has no significant statistical on SMEs sustainability.

The study poses significant implications on managers and SME development authority to create an inductive environment for technological support for SMEs’ sustainability.

The study enhances SMEs’ performance and sustainability by upgrading their existing information and communications technology as a digital infrastructure and benefiting from novel IT-based cloud revolution. Several studies have provided an understanding of the use of cloud computing services in SMEs but lack enough information about the challenges and impact on SMEs sustainability.

This study aims to empirically examine accounting information system (AIS) success at the organizational level during COVID-19 era.

Based on the information system success model, this paper developed its model and proposed a total of nine hypotheses. This paper gathered the required data via a questionnaire from Yemeni small and medium enterprises (SMEs) owners and managers. To test the proposed research model paths, SmartPLS software, which is known as partial least squares structural equation modeling, was used.

The results showed that the quality dimensions (information quality and system quality) positively affected the use of AIS and satisfaction; user satisfaction positively affected the use of AIS. Management support positively affected the AIS users' usage and satisfaction. Finally, the use dimensions (user satisfaction and usage) positively impacted the net benefits in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. In all, this research has succeeded in providing support for DeLone and McLean's IS success model at the organizational level during the COVID-19 era.

AIS is becoming increasingly important for SMEs in low-income countries like Yemen, particularly in the present pandemic conditions (COVID-19 era). By using AIS, users can access the enterprise's data and conduct transactions without being limited by distance. Indeed, AIS proved its ability in enhancing the net benefits at the organizational level in the COVID-19 era in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. However, AIS can only be considered useful to the enterprise if it is effective/successful.

This study is one of the first to have assessed the impact of AIS success at the organizational level in the era of COVID-19 pandemic, the context of Yemeni SMEs.

The COVID-19 outbreak has disrupted the habits of customers as well as their shopping behavior. This study aims to critically examine the associated benefits and challenges of online shopping from the perspective of customers in the COVID-19 pandemic.

A systematic review of the relevant literature published between 2020 and 2022 was conducted via performing comprehensive search query in leading scholarly databases “Scopus and Web of Science” with the restriction of their predefined subject category of “Business.” Overall, 30 research studies were selected for the review and a significant number of studies were published in 2021 (n = 15).

The research findings revealed that customers are motivated to shop online because of perceived benefits such as time-saving, convenience, 24/7 accessibility, interactive services without physical boundaries, trust, website attractiveness and cost-saving. However, challenging factors such as financial scams, privacy concerns, poor quality of products and services, fake promotions and reduced social interaction have hindered the growth of online shopping. The recommendations regarding designing marketing strategies, secured transaction, multiple payment options, trust building, protection of privacy, promotion via social media, effective mechanism to secure and timely delivery of product are helpful to improve the service quality of online shopping.

The outcomes of this research are valuable to online retailers and policymakers, as it highlights how the benefits can enhance customers’ shopping intentions and minimize the impact of associated challenges. This study also recommends the redesigning of user-friendly interfaces of online shopping websites and ensures their privacy, security and performance on a regular basis.

This study seeks to examine motivations, challenges and strategies implemented to sustain environmentally friendly practices in Macau hotels and the effects of the COVID-19 pandemic on such practices.

Executives in sustainability departments of hotels in Macau were purposefully targeted for the in-depth interviews. Ten executives were interviewed either face-to-face or via video call.

The findings revealed that hotels in Macau implement sustainable practices. The main motivation for their implementation was the need to protect the environment, compliance and business-driven reasons. The major challenge involved the implementation costs. The pandemic had a limited impact on the implementation of these practices.

The study recommends that the Macau government should establish clear environmental policies and regulations for hotels with guidelines and support systems. Hotels can also benchmark their performance and collaborate on sustainable practices, develop innovative financing mechanisms and cost-efficient waste recycling practices, organize customer education and engagement programs to promote environmentally friendly practices and incorporate crisis management and resilience strategies into environmental strategies.

The current study denotes that the “sustainable development” concept is crucial in Macau because the largely gaming-driven hospitality industry has been developed over the last decade, significantly impacting environmental degradation. This study examined how hotels respond to these environmental challenges and how their responses can be sustained in the long term. The authors suggest the environmental practice indicators that can be helpful for the hospitality industries in Macau. Social and economic implications are discussed based on the findings.

Disruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to help shipping companies cope with port disruptions through recovery scheduling.

This paper studies the ship coping strategies for the port disruptions caused by severe weather. A novel mixed-integer nonlinear programming model is proposed to solve the ship schedule recovery problem (SSRP). A distributionally robust mean conditional value-at-risk (CVaR) optimization model was constructed to handle the SSRP with port disruption uncertainties, for which we derive tractable counterparts under the polyhedral ambiguity sets.

The results show that the size of ambiguity set, confidence level and risk-aversion parameter can significantly affect the optimal values, decision-makers should choose a reasonable parameter combination. Besides, sailing speed adjustment and handling rate adjustment are effective strategies in SSRP but may not be sufficient to recover the schedule; therefore, port skipping and swapping are necessary when multiple or longer disruptions occur at ports.

Since the port disruption is difficult to forecast, we attempt to take the uncertainties into account to achieve more meaningful results. To the best of our knowledge, there is barely a research study focusing on the uncertain port disruptions in the SSRP. Moreover, this is the first paper that applies distributionally robust optimization (DRO) to deal with uncertain port disruptions through the equivalent counterpart of DRO with polyhedral ambiguity set, in which a robust mean-CVaR optimization formulation is adopted as the objective function for a trade-off between the expected total costs and the risk.