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The hotel customers are conscious of the deteriorating environmental conditions and demand for online immersions. Hotels lack an exciting shift in customer behavior for augmented customer re-patronage intention (CRPI) especially in developing countries. This study aims to apply customer-dominant service logic (CDSL) to comprehend customers’ life-sphere contributing to some of the vital United Nations sustainable development goals (UN SDGs). In this essence, CDSL grasps the impact of customer empowerment (CE) and environmental corporate social responsibility (Env CSR) on customer re-patronage intention (C-RPI) with the mediating and moderating effects in Pakistan’s four- and five-star hotels.

A deductive approach is followed in which an online survey of 400 hotel customers was conducted using purposive and snowball sampling techniques to understand the practice of C-RPI and UN SDGs.

This study reveals that executing the UN SDGs in the hotel industry eventually boosts CE and Env CSR, further enhancing online customer value cocreation (O-CVCC) resulting in C-RPI. Both CE and Env CSR gain a complimentary/partial mediation by O-CVCC on C-RPI is also reported. Moreover, sensation seeking moderates the relationship between CE and O-CVCC. Yet, customer commitment does not moderate the relationship between O-CVCC and C-RPI.

This study highlights that C-RPI (i.e. SDG 11) enhances when Env CSR is taken care of (i.e. SDG 13), customers are empowered (i.e. SDG 5 and SDG 17) and cocreated online (i.e. SDG 9). To the best of the authors’ knowledge, this study is one of the first studies to empirically test the approaches in the hotel industry contributing to SDG 5, 9, 11, 13 and 17.

Los clientes de hoteles son conscientes de las condiciones ambientales deteriorantes y demandan inmersión en línea. Los hoteles carecen de un cambio emocionante en el comportamiento del cliente para la intención de repatronaje aumentada (CRPI) especialmente en países en desarrollo. Este estudio aplica la lógica de servicio dominante del cliente (CDSL) para comprender la esfera de vida de los clientes que contribuyen a algunos de los vitales Objetivos de Desarrollo Sostenible (ODS) de las Naciones Unidas (ODS de la ONU). En esencia, CDSL comprende el impacto del empoderamiento del cliente (CE) y la RSE ambiental (Env CSR) en C-RPI con efectos de mediación y moderación en hoteles de cuatro y cinco estrellas de Pakistán.

Se utilizó un enfoque deductivo en el que se llevó a cabo una encuesta en línea a 400 clientes de hoteles utilizando técnicas de muestreo intencional y de bola de nieve para comprender la práctica de RPI y los ODS de la ONU.

Este estudio revela que la ejecución de los ODS de la ONU en la industria hotelera finalmente impulsa CE y Env CSR, y mejora aún más O-CVCC resultando en C-RPI. También se informa que tanto CE como Env CSR obtienen una mediación complementaria/parcial por la co-creación de valor del cliente en línea (O-CVCC) en C-RPI. Además, la búsqueda de sensaciones (SS) modera entre CE y O-CVCC. Sin embargo, el compromiso del cliente (CC) no modera entre O-CVCC y C-RPI.

Este estudio destaca que C-RPI (es decir, ODS 11) mejora cuando se cuida Env CSR (es decir, ODS 13), los clientes están empoderados (es decir, ODS 5 y ODS 17) y co-creados en línea (es decir, ODS 9). Este estudio es uno de los primeros estudios en probar empíricamente los enfoques en la industria hotelera que contribuyen a los ODS 5, 9, 11, 13 y 17.

酒店客户对环境恶化的意识日益增强, 并呼吁进行在线沉浸体验。在发展中国家, 尤其需要酒店采取激动人心的客户行为转变措施,以增强客户再次光顾意向（CRPI）。本研究旨在运用客户主导服务逻辑（CDSL）理解客户的生活领域, 同时为联合国关键的可持续发展目标（UN SDGs）做出贡献。在这一框架下, 研究将探讨客户赋权（CE）和环境 CSR（Env CSR）对巴基斯坦四星级和五星级酒店中 CRP I的调节和中介作用。

本研究采用演绎方法, 结合目的性和雪球抽样技术, 对400名酒店客户进行了在线调查, 以深入了解 RPI 以及UN SDGs 的实践情况。

该研究表明, 在酒店业执行 UN SDGs 最终促进了CE 和 Env CSR, 并进一步增强了O-CVCC, 从而导致了C-RPI的提升。同时, CE和Env CSR在 C-RPI 上通过在线客户价值共创（O-CVCC）获得了互补/部分中介。此外, 感知寻求（SS）在CE和O-CVCC之间起到了调节作用。然而, 客户承诺（CC）在O-CVCC和C-RPI之间没有调节作用。

该研究表明, 在酒店业执行 UN SDGs 最终促进了CE 和 Env CSR, 进而进一步增强了O-CVCC, 从而导致 C-RPI的提升。同时, CE 和Env-CSR 在客户再次光顾意向上通过在线客户价值共创 (O-CVCC) 获得了互补或部分中介作用。此外, 感知寻求 (SS) 在CE和 O-CVCC 之间起到了调节作用。然而, 客户承诺(CC)在O-CVCC和C-RPI之间没有发现调节作用。

该研究强调了在 EnvCSR 受到关注时（即SDG 13）, 客户被赋权时（即 SDG 5和SDG 17）, 以及在线共同创造时（即 SDG 9）会增强客户再次光顾意向（即 SDG 11）。这项研究是第一批在实践中测试了酒店业对 SDG 5、9、11、13 和17做出贡献的方法之一。

Public opinion regarding autonomous vehicles (AV) heavily influences how quickly the technology will be implemented and adopted in the future. However, there is a dearth of empirical evaluations in the literature about riders' perceptions toward service characteristics of shared autonomous vehicles (SAVs) and their attitudes toward developing AVs. Therefore, the aim of this study is to identify attitudes, views and concerns regarding a self-driving demonstration called RAPID (Rideshare, Automation and Payment Integration Demonstration) incorporated with an already-existing on-demand ridesharing service in Arlington, Texas.

This study developed a ridership survey to collect data from those who had experience using the service at least once during the service deployment. As the RAPID service operations were restricted to the areas near the University of Texas at Arlington (UTA) campus, sample population of this study is highly skewed with all participants being affiliated with UTA.

Findings indicated that survey respondents positively perceived the service features, including comfort, boarding the vehicles, ride safety, booking and scheduling, vehicle speed, climate control and service cost. To complement the survey results, the authors conducted interviews and a focus group study and used conventional content analysis to gain more in-depth insights about RAPID service operations from the perspectives of users and non-users in the post-implementation period. The results indicated that geographic accessibility, service availability and trip cost were the primary concerns of the focus group participants.

This study offers critical insights into individual attitudes and perceptions toward shared AVs (SAVs) that will assist local, state and federal transit authorities and planners in formulating policies and transportation strategies to target SAV ridership when the service is more widespread.

This paper aims to investigate the theoretical and practical links between digital twin (DT) application in heritage facilities management (HFM) from a life cycle management perspective and to signpost the future development directions of DT in HFM.

This state-of-the-art review was conducted using a systematic literature review method. Inclusive and exclusive criteria were identified and used to retrieve relevant literature from renowned literature databases. Shortlisted publications were analysed using the VOSviewer software and then critically reviewed to reveal the status quo of research in the subject area.

The review results show that DT has been mainly adopted to support decision-making on conservation approach and method selection, performance monitoring and prediction, maintenance strategies design and development, and energy evaluation and management. Although many researchers attempted to develop DT models for part of a heritage building at component or system level and test the models using real-life cases, their works were constrained by availability of empirical data. Furthermore, data capture approaches, data acquisition methods and modelling with multi-source data are found to be the existing challenges of DT application in HFM.

In a broader sense, this study contributes to the field of engineering, construction and architectural management by providing an overview of how DT has been applied to support management activities throughout the building life cycle. For the HFM practice, a DT-cum-heritage building information modelling (HBIM) framework was developed to illustrate how DT can be integrated with HBIM to facilitate future DT application in HFM. The overall implication of this study is that it reveals the potential of heritage DT in facilitating HFM in the urban development context.

This study aims to understand and explain factors that influence how, when and under which conditions local governments adopt digital technologies for citizen collaboration. It discusses what these findings mean for city digital twin adoption.

This research uses the systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) process to collect and evaluate evidence needed to answer the research questions. It uses the technology–organisation–environment (TOE) framework and proposes an additional dimension: “stakeholders” as the analytical framework.

Critical influential factors identified include the technology dimension: security and privacy; organisation dimension: top management support; environment dimension: political influence; and stakeholders’ dimension: technological experience.

This research extends the TOE framework and comprehensively analyses those factors which relate to citizens but significantly impact local government’s decision to adopt digital tools for collaboration purposes. This research posits that in the context of local government technology adoption for collaboration, both the organisation and stakeholders’ dimensions are critical.

This research contributes to the government-citizen discourse and provides a constructive understanding of technological transformation in collaborative planning. The findings are helpful for local governments, researchers and geospatial industries as they offer a critical understanding of digital technology adoption, particularly city digital twins, for collaborative planning.

This study extends the TOE framework to include aspects relating to citizens. It provides a nuanced understanding of the influential factors and intricacies of technology adoption by local governments for citizen collaboration. It also discusses relevant issues of city digital twins’ adoption by local governments for citizen participation.

To achieve the building and property by 2050, decarbonisation goals will now require a significant increase in the rate of improvement in the energy performance of buildings. Occupant behaviour is crucial. This study seeks to guide the application of smart building technology in existing building stock to support improved building energy performance and occupant comfort.

This study follows a logical partitioning approach to the development of a schema for building energy performance and occupant comfort. A review of the literature is presented to identify the characteristics that label and structure the problem elements. A smart building technology framework is overlaid on the schema. The framework is then applied to configure and demonstrate an actual technology implementation for existing building stock.

The developed schema represents the key components and relationships of building energy performance when combined with occupant comfort. This schema provides a basis for the definition of a smart building technologies framework for existing building stock. The study demonstrates a viable configuration of available smart building technologies that couple building energy performance with occupant comfort in the existing building stock. Technical limitations (such as relatively simple building management control regimes) and pragmatic limitations (such as change management issues) are noted for consideration.

This is the first development of a schema to represent how building energy performance can be coupled with occupant comfort in existing building stock using smart building technologies. The demonstration study applies one of many possible technology configurations currently available, and promotes the use of open source applications with push-pull functionality. The schema provides a common basis and guide for future studies.

The purpose of this study is to identify the key data categories and characteristics defined by asset information requirements (AIR) and how this affects the development and maintenance of an asset information model (AIM) for a blockchain-based digital twin (DT).

A mixed-method approach involving qualitative and quantitative analysis was used to gather empirical data through semistructured interviews and a digital questionnaire survey with an emphasis on AIR for blockchain-based DTs from a data-driven predictive analytics perspective.

Based on the analysis of results three key data categories were identified, core data, static operation and maintenance (OM) data, and dynamic OM data, along with the data characteristics required to perform data-driven predictive analytics through artificial intelligence (AI) in a blockchain-based DT platform. The findings also include how the creation and maintenance of an AIM is affected in this context.

The key data categories and characteristics specified through AIR to support predictive data-driven analytics through AI in a blockchain-based DT will contribute to the development and maintenance of an AIM.

The research explores the process of defining, delivering and maintaining the AIM and the potential use of blockchain technology (BCT) as a facilitator for data trust, integrity and security.

The purpose of this research is to review the dividend smoothing effectiveness from the perspective of managers' overconfidence and accounting competence. Accounting competence is considered as an important factor in recognizing management’s ability to override internal controls as an opportunity to distort financial reports.

The current study applies multivariable linear regression method estimator to investigate the relationship between Overconfidence, Managerial Accounting Competence and Dividend Smoothing of 1,320 firm-year observations in Iran for the period of 2012–2022.

The result show that manager overconfidence leads to dividend smoothing. Moreover, this relation is stronger in low information quality and not driven by high information quality or by others measures. This research show that accounting competence has led to positive change in the efficiency of the manager performance and reduce the self-interesting motives of manager.

In the present study, the weaknesses caused by the ambiguity of capital market efficiency in market performance-based statistical models are compensated and partially covered by classifying the relationships and implementing models in each group. Results obtained from this study will aid market practitioners to evaluate the firms’ dividend smoothing. The results provide evidence and information for policymakers and investors about the theoretical gap and the factors affecting to it. It also informs policymakers to the dividend smoothing associated with the manager characteristics.

The previous researches emphasize on limiting agency costs by creating limits for the optimistic actions of managers, while framing and standardizing a major part of management behaviors is not possible. In this research, the manager’s executive ability has been examined in the form of accounting competence at the same time as excessive self-confidence, in order to control part of the inherent limitations caused by the managers' behavior. This study also considers the positive aspect of managers' ability in the form of accounting competence.

The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score.

A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach.

This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately.

In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data.

The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc.

For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.