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Corporate travel represents a significant source of revenue for the tourism industry. Therefore, the quality of service is essential for maintaining and expanding corporate cliental bases. Despite the importance, the extant literature has yet sufficiently examined corporate travel service quality (SQ) and its impact. To make up for the drawback, this study aims to differentiate the impact of SQ perceptions on customer satisfaction between the online and off-line contexts through an empirical investigation in one of the top five corporate travel agencies in North America.

The well-established SERVQUAL measurement is applied in differentiating the impact of SQ dimensions between the online and off-line context. To empirically test the proposed corporate travel agency (CTA) SQ conceptual model, a set of survey data of “Welcome Back Survey” from HRG (a top five CTA in North America) was examined.

The study finds that for online services, assurance, responsiveness and empathy affect perceived SQ, whereas for off-line services, assurance, empathy and tangible are the three dimensions of perceived SQ.

By relying on the existing survey, the off-line context has one less dimension than the online context. Yet as an early effort in differentiating the differences in the impact of SQ between two service contexts, the study offers insightful findings.

The findings will be helpful for business managers of CTAs to identify the factors that influence SQ in both online booking and off-line booking context. In particular, assurance and empathy are two dimensions that exert a significant impact on customer satisfaction.

This paper is the first to compare the differences of the SQ of online and off-line corporate travel.

This review aims to give a critical view of the wheel/rail high frequency vibration-induced vibration fatigue in railway bogie.

Vibration fatigue of railway bogie arising from the wheel/rail high frequency vibration has become the main concern of railway operators. Previous reviews usually focused on the formation mechanism of wheel/rail high frequency vibration. This paper thus gives a critical review of the vibration fatigue of railway bogie owing to the short-pitch irregularities-induced high frequency vibration, including a brief introduction of short-pitch irregularities, associated high frequency vibration in railway bogie, typical vibration fatigue failure cases of railway bogie and methodologies used for the assessment of vibration fatigue and research gaps.

The results showed that the resulting excitation frequencies of short-pitch irregularity vary substantially due to different track types and formation mechanisms. The axle box-mounted components are much more vulnerable to vibration fatigue compared with other components. The wheel polygonal wear and rail corrugation-induced high frequency vibration is the main driving force of fatigue failure, and the fatigue crack usually initiates from the defect of the weld seam. Vibration spectrum for attachments of railway bogie defined in the standard underestimates the vibration level arising from the short-pitch irregularities. The current investigations on vibration fatigue mainly focus on the methods to improve the accuracy of fatigue damage assessment, and a systematical design method for vibration fatigue remains a huge gap to improve the survival probability when the rail vehicle is subjected to vibration fatigue.

The research can facilitate the development of a new methodology to improve the fatigue life of railway vehicles when subjected to wheel/rail high frequency vibration.

This research has developed a one-stop service supply chain mobile application for the purpose of marketing, product distribution and location-based logistics for elderly farmers and consumers in accordance with the Thailand 4.0 economic model. This is an investigation into the agricultural product distribution supply chain which focuses on marketing, distribution and logistics using the Dijkstra’s and Ant Colony Algorithms to respectively explore the major and minor product transport routes. The accuracy rate was determined to be 97%. The application is congruent with the product distribution, supply chain, in a value-based economy. The effectiveness of the mobile application was indicated to be at the highest level of results of learning outcomes, user comprehension and user experience of users. That is, the developed mobile application could be effectively used as a tool to support elderly farmers to distribute their agricultural products in the one-stop service supply chain which emphasizes marketing, distribution and location-based logistics for elderly farmers and consumers with respect to Thailand 4.0.

This paper examines the different features of China's economic development in different stages of economic globalization. The study finds that the investment- and export-based growth model drove China's high-speed economic growth between 2000 and 2007, which came into existence around 2000 when China plugged into the global production network.

This paper also finds that China slowed down to the New Normal because of the disruption to the socio-economic underpinnings of this growth model. As China adapts to and steers the New Normal, supply-side structural reforms can channel excess capacity to the construction of underground pipe networks in rural areas of central China and fix capital while advance rural revitalization.

At the same time, enterprises must strive to build a key component development platform for key component innovation and the standard-setting power in global manufacturing.

The establishment of a domestic production network integrating the integrated innovation-driven core enterprises and modular producers at different levels can satisfy the dynamic demand structure of China in which standardized demands and personalized demands coexist.

This study explores the different learning practices of Chinese incubators in Chongqing and Chengdu and delves into how these “learning huddles” influence incubatees' absorptive capacity (the ability to apply knowledge) to improve their chance of success (sustainable growth).

This explorative study uses a qualitative case study approach by means of semi-structured interviews with business incubation managers and incubatees across three business incubators in Chengdu and Chongqing. The data are transcribed, coded and analyzed using an analytic map for the explanation of building and reflecting on the theoretical propositions, leading to a further understanding of the “learning huddle” mechanism.

The study finds that incubatees perceive that their absorptive capacity is increased through vicarious informal learning practices that promote access to networks and thereby builds social capital to improve their likelihood of success.

This study has limitations in sample size and design. The explorative case study approach uses a nonrandom case selection of three incubators in Chongqing and Chengdu and has a limited number of interviewees, which may lack representation of the general Chinese business incubation population and may not sufficiently be generalized beyond the sample itself.

These findings have important implications for business incubation programs. Business incubators that build learning huddles (networks) create a nurturing shared learning environment, which is suitable for incubatees to collectively absorb knowledge at the early stage of their life cycle and improve their likelihood of sustainable growth.

Since this study is limited to a Chinese context, it is also hoped that future researchers use the typology of business incubator learning practices to explore cross-culture variables, as these may influence the business incubation operations and performance.

This study adds to the discussion on how collective learning practices facilitate absorptive capacity and build social capital, which in turn improves incubatees' chance of sustainable growth and as such the authors hope that the learning practice's typology and how incubatees determine their success stimulates further research for measuring the likelihood of incubatees sustainable growth.

This study examines the impact of China’s mixed-ownership reform on the innovation of non-state-owned acquirers, with a particular focus on the impact on firms with high financing constraints, low-quality accounting information or less tangible assets.

We use a proprietary dataset of firms listed on the Shanghai and Shenzhen Stock Exchanges to investigate the impact of mixed ownership reform on non-state-owned enterprise (non-SOE) innovation. We employ regression analysis to examine the association between mixed ownership reform and firm innovation.

The study finds that non-state-owned firms can improve innovation by acquiring equity in state-owned enterprises (SOEs) under the reform. Eased financing constraints, lowered financing costs, better access to tax incentives or government subsidies, lowered agency costs, better accounting information quality and more credit loans are underlying the impact. Additionally, cross-ownership connections amongst non-SOE executives and government intervention strengthen the impact, whilst regional marketisation weakens it.

This study adds to the literature on the association between mixed ownership reform and firm innovation by focussing on the conditions under which this impact is stronger. It also sheds light on the policy implications for SOE reforms in emerging economies.

This paper will examine the unsafe work practices that are plaguing the construction industry. Statistics show that four out of five of all workplace accidents are attributed to unsafe behaviour. Research studies have sought to understand worker self-protection. For example, it is difficult to make predictions of conditions that influenced worker’s behaviour to act unsafely or safely in a given work situation. It is evident there is a gap in the literature in this area of research, most notably failing to understand the underlying “why” factors. The aim of the study is to identify and examine the proximate set of contributing factors most likely to have an influence on workers’ decisions about participation in unsafe behaviour.

To perform the study, questionnaires were adopted, and 225 construction workers from 9 construction companies participated in the study.

Results showed that both underlying organisational factors and individual factors could affect the risk aversion among construction workers. The paper also highlights measures to create a safe work environment to minimise unsafe behaviour among construction workers. Results from the study are important to help organisation to systematically plan for a good working environment.

As the results were based only from the questionnaires, a deeper understanding behind the workers’ responses was not probed.

Construction companies should work at several organisational levels at the same time. It is necessary to include levels such as individual, group, workplace and management levels, thus taking a system perspective on risk behaviour and safety.

This study aims to present a theoretical analysis on the capabilities (at the organizational) and skills (at the individual level) of the hub organization (orchestrator) in an innovation network.

The authors conducted literature reviews on the orchestration of innovation networks; and networking capabilities.

This study presents a theoretical model and a research agenda.

In interorganizational relations, a central actor can stand out the role of intentionally creating, extracting and distributing value in the network, generating gains for all members. Literature recognizes this set of intentional and deliberate actions as the “orchestration” of resources in the network. Despite the increasing interest regarding the theme, the phases and specific capabilities for orchestration still lack further investigation.

This study aims to determine the main antecedents of customer engagement (market orientation, satisfaction, emotions and self-brand connection) and the relationship between customer engagement and customer loyalty in the retail-banking context.

A theoretical model of effects is tested using dyadic methodology, based on 225 dyads (bank branch manager–average of five branch customers). The authors use structural equation modelling (EQS 6.1) to test the relationships.

The results reveal a strong relationship between customer engagement and customer loyalty. Satisfaction is the main antecedent of customer engagement. Self-brand connection and emotions during the service also have a significant influence. Finally, branch market orientation has a positive influence on satisfaction and emotions.

The first concerns the transversal data used. Geographical context is the second limitation. Third, the study sample only included customers with experience of the financial services of a specific bank (online customers are not included). Finally, the dyads are based on the opinion of the branch manager, on one hand, and an average of five customers per branch, on the other.

The combination of the branding strategy at the corporate level and the relationship marketing strategy at branch office level creates a situation in which customer engagement and customer loyalty can thrive. The communication campaigns designed to promote the brand image and associate brand values with the personality of the banks’ current and potential customers help to create an emotional bond that represents a switching cost for the customer. The moments of truth in branch offices are crucial aspects in the retail bank strategy.

First, from the conceptual perspective, it establishes a direct relationship between customer engagement and customer loyalty. Second, it empirically tested Pansari and Kumar’s (2017) customer engagement framework, which establishes customer satisfaction and customer emotions as the antecedents of customer engagement. Third, the study took an innovative step in establishing two levels of customer emotions in the retail bank context: emotions generated by corporate branding and emotions that arise during the experience of purchase and consuming. Fourth, the study shows that the market orientation adopted not at the macro corporate level but at the individual branch level is crucial to the generation of positive relational outcomes in the service the customer receives. The fifth contribution is related to the fact that the research streams associated with market orientation and relationship quality have traditionally been studied in isolation.

Este estudio identifica los principales antecedentes del compromiso del cliente (orientación al mercado, satisfacción, emociones y conexión con la propia marca) así como la relación entre compromiso y lealtad en la banca minorista.

Se contrasta un modelo de efectos utilizando la metodología de diadas, basada en 225 asociaciones (director de la sucursal bancaria-promedio de cinco clientes por sucursal). Las relaciones se contrastan usando SEM (EQS 6.1).

El trabajo presenta diversas limitaciones como son el empleo de datos transversales, su aplicación en el mercado español, la inclusión de exclusiva de clientes con experiencia con un banco específico y no operan exclusivamente online. Por último, las díadas se basan en la opinión del director de la sucursal, por un lado, y de una media de cinco clientes por sucursal, por otro.

La combinación de la estrategia de marca a nivel corporativo y la estrategia de marketing relacional a nivel de sucursal crea una situación en la que el compromiso y la lealtad del cliente pueden desarrollarse. Las campañas de comunicación diseñadas para promover la imagen de marca y asociar los valores de marca con la personalidad de clientes actuales y potenciales ayudan a crear un vínculo emocional que supone un coste de cambio para el cliente. Los momentos de verdad en las sucursales son aspectos cruciales en la estrategia de la banca minorista.

Primero, se establece una relación directa entre el compromiso y la lealtad del cliente. Segundo, se contrasta la satisfacción y las emociones del cliente son antecedentes del compromiso. Tercero, se establecen dos niveles de emociones del cliente en banca minorista: las generadas por el branding corporativo y las que surgen durante la experiencia de compra. Cuarto, el estudio muestra que la orientación de mercado adoptada a nivel de oficina es crucial para generar resultados relacionales positivos con el cliente. Quinto, se combinan las corrientes de investigación asociadas con la orientación al mercado y la calidad de las relaciones.

Compromiso del cliente, Lealtad del cliente, Satisfacción, Emociones, Orientación al mercado, Banca minorista

Trabajo de investigación

This study reviews the extent of application of artificial intelligence (AI) tools in the construction industry.

A thorough literature review (based on 165 articles) was conducted using Elsevier's Scopus due to its simplicity and as it encapsulates an extensive variety of databases to identify the literature related to the scope of the present study.

The following items were extracted: type of AI tools used, the major purpose of application, the geographical location where the study was conducted and the distribution of studies in terms of the journals they are published by. Based on the review results, the disciplines the AI tools have been used for were classified into eight major areas, such as geotechnical engineering, project management, energy, hydrology, environment and transportation, while construction materials and structural engineering. ANN has been a widely used tool, while the researchers have also used other AI tools, which shows efforts of exploring other tools for better modelling abilities. There is also clear evidence of that studies are now growing from applying a single AI tool to applying hybrid ones to create a comparison and showcase which tool provides a better result in an apple-to-apple scenario.

The findings can be used, not only by the researchers interested in the application of AI tools in construction, but also by the industry practitioners, who are keen to further understand and explore the applications of AI tools in the field.

There are no studies to date which serves as the center point to learn about the different AI tools available and their level of application in different fields of AEC. The study sheds light on various studies, which have used AI in hybrid/evolutionary systems to develop effective and accurate predictive models, to offer researchers and model developers more tools to choose from.