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Land is the basis for economic development as well as tourism development. There is a close relationship between tourism development and the land market. However, research on the effect of tourism development on land prices is insufficient. This paper aims to investigate the effect and mechanism of tourism development on land prices.

The econometric paradigm is the main research method. Fixed effect models, instrumental variable models and mediating effect models are introduced to examine the impact of tourism development on land prices. The data include three types: land transaction data, city-level data and scenic spot data. More than 360,000 samples of land transactions for 284 prefecture-level cities in China from 2007 to 2021 are applied.

Tourism development can significantly increase land prices. This conclusion holds after using instrumental variables to address endogeneity and testing for robustness. Meanwhile, tourism development’s effect on land price is influenced by land type, city type, city tier and city location. The land price increase effect of tourism is more significant for tourism land, tourist cities, central cities and Western cities. The paper also reveals the mechanisms of the public service enhancement effect, infrastructure upgrading effect and environmental optimization effect in tourism development’s effect on land price.

The study contributes to the literature on the relationship between tourism development and land market. The generality and specificity of tourism development’s effect on land price are revealed from the micro and macrolevel research level. The findings enrich the literature on tourism price effects, point to rational ways to optimize and regulate land prices and provide new ideas for land-market development.

Sustainability represents innovative elements in determining the profitability of real estate investments, among other factors, including the green component in real estate. Evidence from the literature has pointed out that incorporating green features into residential buildings can reduce operational costs and increase the building’s value. Although green real estate is considered the future trend of choice, it is still being determined whether prospective buyers are willing to accept the extra cost of green residential investment. Therefore, this study aims to investigate the effect of housing attributes and green certification on residential real estate prices.

The impact of the housing attribute and green certification in the residential sectors was assessed using a transaction data set comprising approximately 861 residential units sold in Selangor, Malaysia, between 2014 and 2022. Linear and quantile regression were used in this study by using SPSS software for a robust result.

The findings indicate that the market price of residential properties in Malaysia is influenced by housing attributes, transaction types and Green Building Index certification. The empirical evidence from this study suggests that green certification significantly affects the sales price of residential properties in Malaysia. The findings of this research will help investors identify measurable factors that affect the transaction prices of green-certified residential real estate. These identifications will facilitate the development of strategic plans aimed at achieving sustainable rates of return in the sustainable residential real estate market.

Specifically, this research will contribute to achieving area 4 of the 11th Malaysia Plan, which pertains to pursuing green growth for sustainability and resilience. This will be achieved by enhancing awareness among investors and homebuyers regarding the importance of green residential buildings in contributing to the environment, the economy and society.

The regression model for housing attributes and green certification on house price developed in this study could offer valuable benefits to support and advance Malaysia in realising its medium and long-term goals for green technology.

The purpose of this study is to provide in-depth knowledge on customer-facing technology and customer experience in the grocery retail sector, including how the value-added potential of customer-facing technologies may be enhanced.

The analysis is based on 30 in-depth interviews with “early adopters” of customer-facing digital retail technologies in the Norwegian grocery sector. Theoretically, the study draws on notions of the customer journey and customer experience.

The study contributes to deepening insights concerning how digital retail technology is used and may be geared to further increase value for customers, specifically how retailers may use data on customers and products to personalize digital retail technology offerings and gain a competitive advantage. The findings underline how customer value is context-dependent and show that while grocery retail customers primarily emphasize utilitarian benefits related to customer-facing technologies, hedonic benefits are valuable biproducts. Moreover, the study showcases how personalization is key in addressing customers’ needs and wants, and may serve to increase the overall value of customer-facing technologies for customers and retailers.

The study’s sector-specific focus on technology in use contributes to enhance knowledge on how digital retail technologies can be leveraged to the benefit of customers and retailers, including customers’ sector-specific needs and wants.

Increasing the need for education for sustainable development in universities requires an understanding of the predictors of students’ environmental concern (EC). In this paper, the authors focus on the EC of business students because of their future responsibility for business operations regarding the exploitation of natural resources. The aim of the study is to examine the predictors of business students’ environmental concern.

Based on the Norm Activation Model as the theoretical framework, this study hypothesizes the model of EC with two main predictors: ascription of responsibility for the environment (AOR), driven by locus of control and self-efficacy (LC/SE), and awareness of positive consequences of consumption reduction on the environment (AOC), driven by perceived environmental knowledge. Structural equation modelling was applied to confirm the conceptual model based on the responses of business students from six countries (Czech Republic, Croatia, Hungary, Poland, Slovakia and Spain) collected through an online survey.

The environmental concern of business students is predicted both by the ascription of responsibility and by awareness of consequences; however, the ascription of responsibility is a stronger predictor of EC. A strong impact was found for internal locus of control and self-efficacy on AOR, as well as a weaker influence of perceived environmental knowledge on AOC.

Sustainability education dedicated to business students should provide environmental knowledge and strengthen their internal locus of control and self-efficacy in an environmental context.

This paper aims to examine the impact of the mandatory adoption of (International Financial Reporting Standards [IFRS] 9) on loan provisions, nonperforming loans (NPL) and impairment loan loss in Gulf banks. This study also investigates potential variations in outcomes compared to prior models and explores the use of the Callaway and Sant’Anna (2021) estimator for difference-in-differences (DiD) with multiple time periods.

The research is based on a sample of 53 Gulf banks covering the period from 2012 to 2020. The study analyzes the changes in loan provisions, impairment loss and NPL following the implementation of IFRS 9. It uses statistical analysis and the DiD method to compare the outcomes between the experimental group (treated by IFRS 9) and the control group (not treated).

The findings reveal a statistically insignificant increase in loan provisions, impairment loss and NPL after the adoption of IFRS 9. These results align with previous studies and suggest that Gulf banks were proactive in anticipating and mitigating the impact of the new standard. The study also observes a synchronization of provisioning practices across Gulf countries and a certain level of consistency in recognizing loan losses.

The practical implications of this study suggest that Gulf banks have successfully absorbed the impact of IFRS 9 and have implemented collaborative approaches.

The study offers some new sight into IFRS9 outcomes in developing countries and opens the door for implementing a novel DiD estimation in future research studies.

As one of the most energy-intensive sectors, the manufacturing industry is strongly affected by current economic, ecological and political issues and is increasingly looking to reduce its energy consumption through effective management. One important component of energy management is monitoring, which can be improved by using the Internet of Things (IoT). This study aims to identify the factors behind the adoption of IoT energy monitoring systems in manufacturing industries and IoT’s impact on consumption in this context. Moreover, this study explores what constitutes successful implementation and develops recommendations on how companies can best use the generated energy-saving potential.

For this purpose, an exploratory, inductive research approach is taken in which five semi-structured interviews with IoT energy-monitoring platform providers located in Germany are conducted and additional documents about these platforms are analysed.

Based on these interviews and documents, this study defines the relevant factors involved in the increased adoption of IoT energy monitoring systems as desired cost reduction, regulatory requirements and customer expectations. Once implemented, a company’s energy efficiency potential strongly depends on its individual situation; however, the transparency characteristic of IoT supports managers in deriving effective energy-saving measures. Additionally, the used efficiency potential is influenced by the level of data collection and organisational capabilities.

To the best of the authors’ knowledge, as the first study, this research combines findings from the energy management and IoT research streams and places them into an organisational context. The application of the fit-viability model as an overarching framework enhances the theoretical contributions of this study. Moreover, focusing on Germany and its substantial industrial sector enables the gathering of important insights and the analysis of the specific use case of industrial IoT, which yields new findings for practitioners as well.

Today, collaborative consumption platforms support business activities. In particular, the sharing economy (SE) increases social and economic dynamism and reduces environmental impact by conserving resources. Therefore, this paper investigates the sustainable value drivers of sharing economy practices.

We explore multiple case studies as a research approach to answer the research question. Multiple sources of evidence were used to triangulate the data. The SE practices influence several sectors; thus, we conducted a sector analysis investigating the healthcare, food and fashion industries. Analysing different sectors provides valuable theoretical and practical insights, facilitating decision-making and fostering innovation. Sectoral differences emphasize how different sustainable SE models are configured.

The findings highlight that SE allows for the development of sustainable business models attesting to: (1) value capture in the food industry, (2) value delivery in the healthcare industry and (3) value creation in the fashion industry. The study opens avenues for future research.

The originality of this study is in the new lens from which the phenomenon is observed.

Electrification is a promising solution for decarbonising the road freight transport system, but it is challenging to understand its impact on the system. The purpose of this research is to provide a system-level understanding of how electrification impacts the road freight transport system. The goal is to develop a model that illustrates the system and its dynamics, emphasising the importance of understanding these dynamics in order to comprehend the effects of electrification.

The main methodological contribution of the study is the combination of the multi-layer model with system dynamics methodology. A mixed methods approach is used, including group model building, impact analysis, and literature analysis.

The study presents a conceptual multi-layer dynamic model, illustrating the complex causal relationships between variables in the different layers and how electrification impacts the system. It distinguishes between direct and induced impacts, along with potential policy interventions. Moreover, two causal loop diagrams (CLDs) provide practical insights: one explores factors influencing electric truck attractiveness, and the other illustrates the trade-off between battery size and fast charging infrastructure for electric trucks.

The study provides stakeholders, particularly policymakers, with a system-level understanding of the different impacts of electrification and their ripple effects. This understanding is crucial for making strategic decisions and steering the transition towards a sustainable road freight transport system.

The aim of this study is to investigate the benefits and weaknesses of OpenVPN to access Osiris.

This study uses a case study approach to describe a phenomenon. The data collected from observation of the real-world environment.

The benefits of OpenVPN are the following: librarian can access the Osiris and other resources remotely and safely; OpenVPN protects the connection when accessing the Osiris; and librarian can also manage Osiris systems easily to control access, monitoring the users efficiently. However, there are some drawbacks of OpenVPN, such as network infrastructure dependency, require stabile internet connection, configuration complexity, to arrange and configurate OpenVPN needs skills and knowledge on the related field, data protection and security breach.

The originality of this study is the use of OpenVPN to access Osiris that is managed by library. There are some variables to determine the benefits and drawbacks of the OpenVPN such as managing access, data security and efficiency. This study gives an original contribution to the use of OpenVPN in academic libraries.

This study aims to investigate different types of platform providers (PPs) to gain a deeper understanding of the characteristics and underlying logic of this group within collaborative consumption (CC). As CC occurs with three groups of actors (PP, peer service provider and customer) and is predominantly viewed from the customer perspective, this study offers insights from the under-researched PP perspective.

This research applies a multiple case study approach and analyzes descriptively and thematically 92 cases of CC PPs gathered through the Crunchbase database.

The authors derive four archetypes of CC PPs, namely, the hedonist, functionalist, environmentalist and connector, that differ in their offered values, dominating motives and activities across industries.

The authors conceptualize CC by clearly describing the four archetypes and their characteristics. However, further research would benefit from including databases other than Crunchbase.

PPs need to understand their value offerings and customer preferences to develop convincing value propositions and offer engaging activities. PPs would benefit from a more active social media presence to build strong relations with customers and peer service providers to effectively communicate their values.

The paper is pioneering as it encompasses the perspective of CC PPs and operationalizes the concept of CC. The authors address the lack of research on CC by conducting an extensive case study.