Search results

This study examines the role of digital transformation intentions in enhancing the perceived resilience of firms, with a focus on China’s manufacturing sector. It investigates the mediating role of knowledge sharing and the moderating impact of transformational leadership.

A quantitative approach was employed, collecting data from 347 manufacturing firms. Participants included managers and MBA students involved in digital transformation projects. The study utilized statistical analysis to explore the relationships between digital transformation intentions, knowledge sharing, transformational leadership and perceived firm resilience.

The analysis reveals that knowledge sharing is a critical mediating factor between digital transformation intentions and perceived firm resilience. Additionally, transformational leadership significantly strengthens this relationship, highlighting its importance in the successful implementation of digital initiatives.

The study is geographically and sectorally limited to China’s manufacturing sector, which may affect the generalizability of the findings. Future research could explore other sectors and regions to validate and extend the results.

The findings underscore the necessity of integrating digital transformation initiatives with effective leadership and knowledge management practices. Firms that foster transformational leadership and facilitate knowledge sharing are better equipped to enhance their resilience in the face of global disruptions.

This research offers a deep understanding of how digital transformation intentions, mediated by knowledge sharing and supported by transformational leadership, contribute to perceived firm resilience. It provides valuable insights for both academic research and practical applications in the field of management.

Apparel manufacturers' achievement of green manufacturing (GM) goal remains low. This paper aims to identify and prioritise the barriers to GM implementation in apparel companies.

First, an extensive literature review is conducted to identify the key barriers to GM implementation. Second, 374 usable questionnaires are collected from apparel manufacturing companies to (a) examine the impact of and (b) rank the barriers. Third, interpretive structural modelling (ISM) is applied to test the relationships among barriers. Finally, structural equation modelling (SEM) is applied to improve the model derived from the ISM.

The results reveal that the independent barriers – lack of eco-literacy among upstream or downstream supply chain members, lack of specific company-level training and monitoring of the progress of GM implementation and inadequate support from regulatory authorities – are the root causes of all the barriers. These three barriers are also at a low level of the ISM model, indicating that they significantly affect the entire system and therefore should be accorded the highest priority in dealing with these barriers.

The results are useful for decision-makers and apparel companies to understand identified barriers, develop potential GM interventions and formulate appropriate strategies to overcome these barriers.

The listed barriers are yet to be comprehensively synthesised in a coherent model and empirically tested in the apparel sector using a combination of the ISM and SEM techniques. The empirically validated model presented in this study is an important step in that direction.

This study examines the interdependent relationships between green supply chain management (GSCM), carbon neutrality capability (CNC), digital transformation (DT) and firm performance (FP) among enterprises listed on the Chinese stock market. The primary objective is to provide a scholarly examination that may help these organisations to enhance their GSCM practices significantly.

Drawing on data from mainland Chinese publicly listed firms over the period from 2014 to 2021, this study posits and methodically evaluates four hypotheses: (1) GSCM practices are positively associated with an increase in CNC; (2) GSCM practices have a beneficial impact on FP; (3) DT moderates the GSCM–FP relationship and (4) CNC mediates the effect of GSCM on FP.

Contrary to initial assumptions, the findings suggest that GSCM practices may initially have a negative impact on FP. However, a concerted focus on CNC has the potential to convert this negative trajectory into a positive influence on FP. The findings further identify that DT has a significant moderating effect on the GSCM–FP relationship.

The findings of this study enrich the academic discourse concerning the symbiotic effects of GSCM, CNC and DT on FP. By systematically analysing these dynamics, the study underscores the critical importance of CNC and DT in the successful application of GSCM practices, thus offering valuable contributions to the literature on sustainable corporate operations.

Humanitarian relief organisations such as charities count on donations to provide assistance to people in need when disasters occur. In the UK, about 11,200 charity shops collect second-hand goods from donors to raise funds for their parent charity to support target beneficiaries. As their numbers increase, charity shops are finding it difficult to secure good quality stock. Furthermore, they may need to plan ahead to secure sufficient stock when the economy experiences a downturn. This paper identifies the charity shop's role and its donation flow in the multi-tier supply chain and empirically assesses the barriers that influence intention to donate with a mixed-methods approach.

In order to explore the charity shop's role within the multi-tier supply chain, this study begins with a literature review and then develops a conceptual model. In order to empirically evaluate the barriers that influence intention to donate, the authors conducted semi-structured interviews with 14 charity shop managers and collected 222 usable questionnaires from donors. The interpretive structural modelling (ISM) approach was applied to examine the interrelationship among barriers and rank their priority.

This paper identifies ten significant barriers that influence intention to donate: lack of good quality items for donation; lack of information on how charity shops make use of donations; lack of familiarity with the donation process; lack of information of what items can be accepted by charity shops; lack of awareness of the impact that donations make; the difficulty of being available at the scheduled times for charity shops' free pick-up services; the difficulty of donating during shops' opening hours; the difficulty of finding parking to access charity shops; and living too far away from charity shops. In particular, the questionnaires' results indicate that lack of good quality items is the most significant barrier. This is also reflected in the ISM model, and thus needs more attention.

The results are very useful for charity shops themselves to understand current barriers to securing good quality stock and to develop potential stock-securing interventions based on these barriers' priority.

Although charity shops have been investigated by several researchers, their supply chain remains insufficiently explored. This paper fills this gap by identifying the charity shop's role and its donation flow in the supply chain and by empirically assessing the supply-side barriers with a mixed-methods approach.

This paper aims to study the impact of the interaction effects between live-streaming marketing and clothing type on consumers' intention to purchase clothing, and the mediating effect of internalization and identification on the relationship between them.

This paper conducts a scenario experiment to 486 consumers who had experience in purchasing clothing on the live-streaming platform and employs the analysis of variance, structural equation model and multivariate regression model.

Our findings reveal that professional live-streaming marketing (PLSM) can better stimulate consumers' intention to purchase formal clothing than entertainment live-streaming marketing (ELSM) does. Compared with PLSM, ELSM can better stimulate consumers' intention to purchase casual clothing. When PLSM promotes formal clothing, it triggers the internalization mechanism of consumers, so as to improve their purchase intention. When ELSM promotes casual clothing, it triggers consumers' identification mechanism, so as to improve their purchase intention.

This paper helps to identify the differences in the impact of different types of live-streaming marketing on consumers' intention to purchase different types of clothing, as well as the mediating role of internalization and identification mechanisms. This paper provides a theoretical reference for clothing firms to strategically select the appropriate type of live-streaming marketing.