Search results

Motivated by the severe impact of global supply chain disruptions and the lack of understanding of supply chain resilience from an SME exporter perspective in the international marketing literature, this paper sets out to explore how SME exporters achieve resilience through strategic choices related to sourcing and manufacturing during global disruptions.

The study adopts a qualitative, multiple-case-studies approach to identify the key strategic drivers and contextual factors influencing SME exporters’ supply chain resilience. Our study adopted an SME exporter perspective and featured an unprecedented global supply chain disruption context. New Zealand (NZ) was chosen as the key home country context for the participants of this study. Five NZ SME exporters were selected for our case studies.

This study redefines buffering, bridging and a mixed strategy for an SME exporter facing global supply chain disruptions. SME exporters with high situational control are likely to pursue a buffering strategy that reduces their resource dependence on foreign suppliers and their reliance on information support from these suppliers. In contrast, when the firm perceives little control over the supply chain, it will decide upon a bridging strategy that aims to build solid relationships with supply chain partners. Exporters opt for a mixed strategy when they do not see themselves clearly in high or low situational control.

As global disruptions arise and evolve, supply chain uncertainty and exporters’ sense of situational control manifest differently across industries, product lines, markets and sourcing countries. It is essential to understand that firms can choose a mixed strategy based on these supply chain conditions. While our study was fortuitously timed, conducting multi-country studies could provide more comparative insights that transcend national borders. Additionally, our study did not examine organizational and capability-based factors. Future research may benefit from exploring how an SME exporter develops strategic capabilities to achieve resilience over its lifetime.

Businesses see survival as the most pivotal concern during a global supply chain disruption. Many companies have had to make on-the-spot decisions about whether they should shift or redesign their supply chains in the middle of a global disruption. There is no “best strategy” for an SME exporter to take. Rather, managers should make strategic decisions based on how much control or influence they have over a particular part of their supply chain. The level of control is determined by the SME exporter’s overall resource dependencies and information needs in particular parts of their supply chain.

We adopt resource dependence theory and information processing theory to guide our study and place exporters' situational control in the centre of drivers to firms' strategic choices during global disruptions. We make a novel attempt to incorporate the contextual conditions of the COVID-19 pandemic into the theorization of supply chain resilience. We make managerial recommendations to help SME exporters navigate global supply chain disruption challenges.

Forecasting outpatient volume during a significant security crisis can provide reasonable decision-making references for hospital managers to prevent sudden outbreaks and dispatch medical resources on time. Based on the background of standard hospital operation and Coronavirus disease (COVID-19) periods, this paper constructs a hybrid grey model to forecast the outpatient volume to provide foresight decision support for hospital decision-makers.

This paper proposes an improved hybrid grey model for two stages. In the non-COVID-19 stage, the Aquila Optimizer (AO) is selected to optimize the modeling parameters. Fourier correction is applied to revise the stochastic disturbance. In the COVID-19 stage, this model adds the COVID-19 impact factor to improve the grey model forecasting results based on the dummy variables. The cycle of the dummy variables modifies the COVID-19 factor.

This paper tests the hybrid grey model on a large Chinese hospital in Jiangsu. The fitting MAPE is 2.48%, and the RMSE is 16463.69 in the training group. The test MAPE is 1.91%, and the RMSE is 9354.93 in the test group. The results of both groups are better than those of the comparative models.

The two-stage hybrid grey model can solve traditional hospitals' seasonal outpatient volume forecasting and provide future policy formulation references for sudden large-scale epidemics.

In the past 10 years, the scale of running events in China has increased dramatically, and the forms of running events have also become rich and diverse. Running is not only a social phenomenon but also a historical and cultural phenomenon as an organic part of human culture with its own sociological values in China. This chapter offers insight into the development of Chinese running culture and how this has emerged from ancient and modern Chinese running cultures based on Foucault's disciplinary power theory, biopower and the technologies of the self. This chapter argues that running culture in China constructs the subjectivity of the Chinese runners under the joint action of the technologies of power and the technologies of the self. The findings acknowledge how Chinese Runners present and express themselves by showing a ‘sense of presence’. Runners illustrate the implicit or explicit meaning and value of a particular way of life through running. Runners regard running as the technology of the self for self-expression and self-creation so that individuals can control their bodies and soul, thoughts, behaviours and ways of existence. Emerging technologies of power provide possibilities for the production of running culture in China, and the current policy under the technologies of power meets the needs of runners. In Chinese running culture, power was not oppressive but productive.

The use of enterprise social media (ESM) can promote knowledge sharing within project teams. However, the potential mechanism of ESM affordances influencing knowledge sharing has not been fully studied. This paper aims to develop a theoretical model to explore how individual psychological cognition and environmental factors affect ESM affordances.

An empirical research using ESM applications was conducted in China, and 214 valid responses were collected for data analysis. Partial least squares structural equation modeling method was performed to test the theoretical model and hypotheses.

The results suggest the following implications: (1) the visibility, persistence, editability and association of ESM affordances all have a positive effect on the effectiveness of knowledge sharing in project teams. (2) The psychological safety and psychological empowerment of team members have a significant positive influence on ESM affordances. (3) The project task complexity positively moderates the positive effects which the visibility and association have on the effectiveness of knowledge sharing, and negatively moderates the positive relationship between the editability and knowledge sharing.

Based on the social cognitive theory, this paper highlights the roles of psychological cognitive factors and project task context in the effect of ESM affordances having on knowledge sharing within project teams. Moreover, it provides valuable suggestions for project managers in project and knowledge management.

Social media is booming in the digital age, and its rich availability provides many opportunities for companies to innovate across borders. In reality, how enterprises use social media to achieve cross-border innovation also faces important challenges such as breaking path dependency.

This paper explores how social media can facilitate cross-border innovation from the perspective of strategic capability, combined with the path dependency theory and attention-based view. Hierarchical regression analysis and bootstrap method are adopted to test the hypotheses based on survey data provided by 173 firms in China.

The findings show a positive relationship between social media strategic capability and cross-border innovation, with path dependency playing a mediating role. In addition, two internal and external contextual factors, namely customer embeddedness and competitive pressure, play moderating roles, with customer embeddedness negatively moderating the negative relationship between social media strategic capability and path dependency and competitive pressure negatively moderating the negative relationship between path dependency and cross-border innovation.

These findings provide not only new insights into social media and cross-border innovation but also theoretical guidance on how companies can effectively use social media in practice.

To setup a theoretical model for grasping cutting pieces of garment better, which will help to design a special soft gripper and push forward the automated level of garment manufacturing.

This paper first analyzed the mechanics of the grasping process and concluded the main factors that affect the success of grasping. A theoretical model named grasping fabric model (GFM) was constructed to show the mechanical relationship between the soft gripper and the fabric pieces. Subsequently, two fabric samples were selected and tested for their friction properties and critical buckling force, and the test data were substituted into the theoretical model GFM to obtain the grasping parameters required for fabric grasping layer by layer.

It was found that (1) the critical buckling force of the fabric is mainly influenced by the bending stiffness and the deformation length of the fabric during grab. (2) The difference between the friction between the soft gripper and the fabric and the friction between the fabric, that is DF1-2, has an important influence on the accuracy of grasping layer-by-layer.

It showed that the grasping parameters provided by GFM enable the two samples to be more effectively separated layer by layer, which verifies that the GFM model is strong enough for the possible application in garment automated production.

Stakeholder interests are complex, sensitive and highly uncertain and may influence the development of net zero carbon building (NZCB). However, this study aims to conduct a systematic literature review to explore the stakeholder interests towards achieving NZCB.

A total of 62 articles were identified from the Scopus database and thoroughly reviewed to extract relevant information on stakeholders' interest towards achieving NZCB.

A total of 28 stakeholder interests influencing the development of NZCB were identified from the literature and were classified into six major groups according to their uniqueness (economic, social, environmental, technological, political, regulatory and legal).

The findings of this study provide insight into the specific stakeholder interests towards achieving NZCB. Thus, the findings of this study could serve as a guide for future research, policy formulation and implementation to expedite the practice of building towards net zero carbon (NZC). Empirical studies are suggested in future studies to test and consolidate the theoretical claims of this study.

This paper undertakes a comprehensive systematic review of studies on stakeholder interests towards achieving NZCB, which is the least investigated in the literature.

The utilization of mobile fitness applications (apps) is on the rise, making user retention and engagement critical factors in the commercial success of these apps. However, research in this area is limited and fragmented. The objective of this study is to conduct a thorough review of the available literature on the effects of digital innovations, gamification, artificial intelligence (AI) and machine learning (ML) on user engagement with fitness mobile apps. The findings reveal the relationships between gamification, the use of AI/ML and technology adoption on user engagement, interaction and intent to use. Additionally, the study highlights the importance of understanding how user experience, customer experience and brand experience impact customer retention and contribute to the overall success of mobile fitness apps. Furthermore, the study also identifies the gaps in the current research and recommends further studies to be conducted in these areas. Future research is encouraged to incorporate elements from the experience domains to provide consumers with engaging interactions and improve retention and commercial success for mobile fitness apps.

This chapter provides an exhaustive analysis on the development of cricket in China in order to advance existing theories of cricket's development and consider future implications for the international game. Adapted from two journal articles of He and Malcolm (2021) and He et al. (2023), it structures the development of cricket in China according to two key historical era: cricket as an ‘expatriate-only’ game and cricket as an ‘Asian Games sport’. The first era, cricket as an ‘expatriate-only’ game, is constructed according to three key phases: early development; post-war and the ‘opening-up’ era. The second era, cricket as an ‘Asian Games sport’, is constructed according to five periods: budding period (2003–2005), peak period (2006–2010), stable period (2011–2014), trough period (2015–2018) and revival period (2019–present). This paper offers a broadened examination of cricket's development in China, contending that cricket in the country (specifically the mainland) manifests itself in two distinct forms, that is, first, it survives as a grassroots sport, sustained by a resilient expatriate diaspora community. Second, it exists as a sport primarily directed by the state and bolstered by the Asian Games and deeply integrated into the Chinese educational system. It concludes that the degree to which the co-existed motives of multiple stakeholders aligned and misaligned, and the interdependence with the unstable ‘Asian Games sport status’ will serve as the cornerstone for cricket's future in China and contribute significantly to the international sport's global development.

This study aims to review recent advances towards the implementation of ANN and NLP applications during the budgeting phase of the construction process. During this phase, construction companies must assess the scope of each task and map the client’s expectations to an internal database of tasks, resources and costs. Quantity surveyors carry out this assessment manually with little to no computer aid, within very austere time constraints, even though these results determine the company’s bid quality and are contractually binding.

This paper seeks to compile applications of machine learning (ML) and natural language processing in the architectural engineering and construction sector to find which methodologies can assist this assessment. The paper carries out a systematic literature review, following the preferred reporting items for systematic reviews and meta-analyses guidelines, to survey the main scientific contributions within the topic of text classification (TC) for budgeting in construction.

This work concludes that it is necessary to develop data sets that represent the variety of tasks in construction, achieve higher accuracy algorithms, widen the scope of their application and reduce the need for expert validation of the results. Although full automation is not within reach in the short term, TC algorithms can provide helpful support tools.

Given the increasing interest in ML for construction and recent developments, the findings disclosed in this paper contribute to the body of knowledge, provide a more automated perspective on budgeting in construction and break ground for further implementation of text-based ML in budgeting for construction.