Yingli Wang, Qinghua He, Jianxun Xie and Zilun Wang
The increasing unexpected contingencies make resilience indispensable for project teams. Drawn on input–process–outcome (IPO) framework, this study aims to investigate how and…
Abstract
Purpose
The increasing unexpected contingencies make resilience indispensable for project teams. Drawn on input–process–outcome (IPO) framework, this study aims to investigate how and when team mindfulness (i.e. input) fosters team resilience (i.e. outcome) via team formalization and team improvisation (i.e. process) under boundary conditions of the shared mental model.
Design/methodology/approach
By conducting a three-wave research design, this paper collects 312 questionaries from the Chinese construction industry. The proposed hypotheses were tested by hierarchical regression analysis and structural equation modeling.
Findings
The results confirm that team mindfulness exerts a positive effect on team resilience. The positive relationship is mediated by team formalization and team improvisation. In addition, the shared mental model serves as a buffering moderator between team mindfulness and team resilience via team improvisation.
Practical implications
This study suggests managers take appropriate interventions of mindfulness to foster team resilience. Making explicit procedures for risk management and taking improvisational action appropriately are also key processes for addressing crises.
Originality/value
This study enriches the literature on the positive prediction effect of team mindfulness on team resilience. Combining team formalization with team improvisation, this study provides new alternatives for the process variables in the IPO framework. Furthermore, this paper reveals the “dark side” of the shared mental model on the relationship between team mindfulness and team resilience.
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Yongqiang Gao, Yingli Wang and Taïeb Hafsi
Drawing on the affect transfer and stakeholder theories, this study aims to examine how the performance of a sports team that a firm owns or sponsors may affect the firm’s market…
Abstract
Purpose
Drawing on the affect transfer and stakeholder theories, this study aims to examine how the performance of a sports team that a firm owns or sponsors may affect the firm’s market value. It explicates that a sports team wins (loses) in the field raises the public’s positive (negative) affect, which can spill over to the associated firm.
Design/methodology/approach
Based on a sample of publicly listed firms in Chinese stock exchanges that are owners or sponsors of soccer teams that competed in the National soccer league of China during 2004–2017, the authors find good support for the hypotheses.
Findings
The findings reveal that a firm’s cumulative abnormal return is positively related to its soccer team’s winning and negatively related to the team’s losing, and these relationships are moderated by both firm and match characteristics. By showing a relationship between sports team’s performance and associated firm’s market value, executives need cautions when their firms want to own or sponsor sports team. However, owned sports team’s winning could be a good strategy to improve a firm’s market value.
Originality/value
This study enriches the spillover literature and deepens the understanding of spillover effect. It provides evidence for the concept of affect transfer and broadens its application scope.
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Yingli Wang, Jeong Hugh Han and Paul Beynon-Davies
This paper aims to investigate the way in which blockchain technology is likely to influence future supply chain practices and policies.
Abstract
Purpose
This paper aims to investigate the way in which blockchain technology is likely to influence future supply chain practices and policies.
Design/methodology/approach
A systematic review of both academic and practitioner literature was conducted. Multiple accounts of blockchain adoption within industry were also consulted to gain further insight.
Findings
While blockchain technologies remain in their infancy, they are gaining momentum within supply chains, trust being the predominant factor driving their adoption. The value of such technologies for supply chain management lies in four areas: extended visibility and traceability, supply chain digitalisation and disintermediation, improved data security and smart contracts. Several challenges and gaps in understanding and opportunities for further research are identified by this research. How a blockchain-enabled supply chain should be configured has also been explored from a design perspective.
Research limitations/implications
This systematic review focuses on the diffusion of blockchain technology within supply chains, and great care was taken in selecting search terms. However, the authors acknowledge that their choice of terms may have excluded certain blockchain articles from this review.
Practical implications
This paper offers valuable insight for supply chain practitioners into how blockchain technology has the potential to disrupt existing supply chain provisions as well as a number of challenges to its successful diffusion.
Social implications
The paper debates the poential social and economic impact brought by blockchain.
Originality/value
This paper is one of the first studies to examine the current state of blockchain diffusion within supply chains. It lays a firm foundation for future research.
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Yingli Wang, Jonathan Gosling and Mohamed M. Naim
A number of governments are making building information modeling (BIM) a mandatory requirement for all public works construction projects. While main contractors may be ready to…
Abstract
Purpose
A number of governments are making building information modeling (BIM) a mandatory requirement for all public works construction projects. While main contractors may be ready to comply with such requirements, the supply chain as whole may be vulnerable as lower-tier suppliers may not be able to adopt BIM. There is currently no objective approach to assessing BIM maturity; hence, this paper aims to develop a new approach to determine suppliers’ current vision and execution-based capabilities to exploit BIM and their capacity to reach a higher maturity level.
Design/methodology/approach
Based on UK Government BIM maturity levels, the authors exploit a unique data set made available by a main contractor, to determine a data-driven approach, using K-means, to assess the capabilities and vision of its supply base.
Findings
The authors find a direct comparison between our suggested K-means clusters and the UK Government’s BIM maturity levels. However, in interrogating specific cases, the authors find that using a subjective approach would have wrongly categorized certain companies. The authors also determine what capability and strategic developments are required for companies to move to a higher level.
Research limitations/implications
The method aligns with the existing UK BIM maturity model and enhances the model by determining the likelihood of a supplier in progressing to a higher level of maturity. The research was with a single case company, exploiting their existing survey instrument and data. A more comprehensive study could be adopted with a generic survey questionnaire.
Practical implications
The research may be exploited by companies to take a strategic approach to assess suppliers in BIM adoption and to establish supplier development mechanisms.
Originality/value
The data-driven approach avoids ambiguity of categories and mis-categorizing suppliers.
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It is greatly important to select the parameters for support vector machines (SVM), which is usually determined by cross-validation. However, the cross-validation is very…
Abstract
Purpose
It is greatly important to select the parameters for support vector machines (SVM), which is usually determined by cross-validation. However, the cross-validation is very time-consuming and complicated to create good parameters for SVM. The parameter tuning issue can be solved in the optimization framework. The paper aims to discuss these issues.
Design/methodology/approach
In this paper, the authors propose a novel variant of particle swarm optimization (PSO) for the selection of parameters in SVM. The proposed algorithm is denoted as PSO-TS (PSO algorithm with team-search strategy), which is with team-based local search strategy and dynamic inertia factor. The ultimate design purpose of the strategy is to realize that the algorithm can be suitable for different problems with good balance between exploration and exploitation and efficiently control the inertia of the flight. In PSO-TS, the particles accomplish the assigned tasks according to different topology and detailedly search the achieved and potential regions. The authors also theoretically analyze the behavior of PSO-TS and demonstrate they can share the different information from their neighbors to maintain diversity for efficient search.
Findings
The validation of PSO-TS is conducted over a widely used benchmark functions and applied to tuning the parameters of SVM. The experimental results demonstrate that the proposed algorithm can tune the parameters of SVM efficiently.
Originality/value
The developed method is original.
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Yingli Wang, Andrew Potter and Mohamed Naim
The purpose of this paper is to evaluate electronic logistics marketplaces (ELMs), especially closed systems based on long‐term relationships between shippers and carriers. It…
Abstract
Purpose
The purpose of this paper is to evaluate electronic logistics marketplaces (ELMs), especially closed systems based on long‐term relationships between shippers and carriers. It aims to establish likely operational models and investigate their relationship with tailored logistics.
Design/methodology/approach
Multiple case‐studies with shippers, carriers and technology providers, involving interviews, process mapping, work‐shops and system demonstrations.
Findings
Key attributes in relation to processes, relationships and technology are identified. Finding reveal that the ELM business model is still at its infancy stage but with huge potential for growth in optimizing supply chain networks, and enabling the provision of tailored logistics.
Practical implications
Business‐to‐business electronic marketplaces are becoming more common in practice. By characterizing the different operational models, decision makers in logistics can identify which structure is best suited for their particular application. The paper confirms the existence of three distinct ELM structures, while also specifying their key attributes. It provides a foundation for future research in this developing field.
Originality/value
Research on ELMs is scarce. The paper establishes fundamentals of the operational models available to support closed ELM and provides insights on how different closed ELMs are structured, what they do and how they impact tailored logistics.
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Yingli Wang, Vasco Sanchez Rodrigues and Leighton Evans
The purpose of this paper is to investigate empirically how information and communication technologies (ICT) can contribute to reduction of CO2 emissions in road freight transport…
Abstract
Purpose
The purpose of this paper is to investigate empirically how information and communication technologies (ICT) can contribute to reduction of CO2 emissions in road freight transport and to identify opportunities for further improvements.
Design/methodology/approach
This research adopts a multiple case study approach with three leading UK grocery retailers as exemplars of fast-moving consumer goods retailers, conducted using multiple data collection techniques including interviews, system demonstrations, onsite observations and the use of archive information.
Findings
ICT solutions have a direct positive impact on CO2 emissions reduction but opportunities to further reduce CO2 emissions are perceived as lying beyond retailers’ own distribution networks. These opportunities are not fully utilised due to the complexities of collaborative ICT provisions and retailers’ reluctance to share information with competitors.
Research limitations/implications
A limitation of the study is that it is exploratory and only three cases were examined. Even though these three retailers represent over 60 per cent of the UK grocery retail sector, other retailers may deploy significantly different ICT applications.
Practical implications
The research provides an overarching insight for businesses on how to leverage the existing and emerging information technologies for environmental and economic benefits.
Originality/value
While sustainability issues have received increasing attention recently, the role of ICT in freight transport for CO2 emissions reduction has not been investigated in depth and its impact is largely unknown. This research advances understanding about how ICT contributes CO2 emissions reductions and provides a framework for further investigation.
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Yingli Wang and Chandra S. Lalwani
This paper seeks to analyse and propose how e‐business can be coupled with different logistics strategies to achieve customized logistics sustainability (CLS).
Abstract
Purpose
This paper seeks to analyse and propose how e‐business can be coupled with different logistics strategies to achieve customized logistics sustainability (CLS).
Design/methodology/approach
In this paper, a conceptual model for CLS has been developed and, using four cases from industry, the model is further enhanced and validated.
Findings
Three main streams in supply chains, namely collaboration, dissolution, and innovation, are identified in a customised logistics domain. In each of the three streams, e‐business and relationship configurations are discussed in detail. Using four case examples, the research presented in this paper demonstrates how e‐business performance has hindered or improved the performance of customised logistics provision. A performance measurement (PM) system (efficacy, effectiveness and efficiency (E3) to evaluate the CLS has been proposed.
Research limitations/implications
The E3 PM system development in this paper is based on current research on performance in the literature. Using the case examples, the application of E3 has been explored. Further research on testing E3 as a good PM system in supply chains using empirical data is desirable.
Practical implications
The paper attempts to provide a guiding framework for practitioners on how to align and design different e‐business linkages with different customers.
Originality/value
There has been considerable research on how e‐business can be deployed by a focal company in supply chains in order to support its B2B collaboration with key customers and suppliers. There is little research on e‐business's potential in dealing with dynamic, unpredictable and sometimes sporadic customer demands. The research presented in this paper attempts to fill this gap by proposing a structured model incorporating different logistics streams, and a PM system for CLS.
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Abstract
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Hailian Qiu, Minglong Li, Billy Bai, Ning Wang and Yingli Li
Hospitableness lies in the center of hospitality services. With the infusion of artificial intelligence (AI) technology in the hospitality industry, managers are concerned about…
Abstract
Purpose
Hospitableness lies in the center of hospitality services. With the infusion of artificial intelligence (AI) technology in the hospitality industry, managers are concerned about how AI influences service hospitableness. Previous research has examined the consequences of AI technology based on customers’ assessment while ignoring the key players in service hospitableness – frontline employees (FLEs). This study aims to reveal how AI technology empowers FLEs physically, mentally and emotionally, facilitating hospitableness provision.
Design/methodology/approach
As the starting point, the instrument for AI-enabled service attributes was designed based on previous literature, hotel FLE interviews, expert panel and a pilot survey, and then validated using survey data. After that, a paired supervisor-employee sample was recruited in 15 hotels, and 342 valid questionnaires covering the constructs were obtained.
Findings
Factor analyses and measurement model evaluation suggest that the four factors, including anthropomorphic, entertainment, functional and information attributes, explain the construct of AI-enabled service attributes well, with high reliability and validity. Additionally, anthropomorphic, functional and information attributes of AI technology have been found to enable FLEs physically, mentally and emotionally, which further lead to increased service hospitableness. The entertainment attributes do not significantly reduce physical and mental fatigue but lead to positive emotions of FLEs significantly. Additionally, psychological job demand moderates the effects of AI-enabled service attributes on physical fatigue.
Practical implications
Practical implications can be made for AI technology application and hospitableness provision, in terms of AI technology analysis, job design and employee workload management.
Originality/value
This research contributes to understanding AI-enabled service attributes and their consequences, extends the conservation of resources theory to AI application context and promotes the research on service hospitableness.