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The objective of this study is to examine how emotions play a role in the firm’s reaction to disruptions in the supply chain. Drawing on the upper echelons theory, we evaluate whether managers’ perception of collective emotions (CEs) in the supply environment affects the execution of specific organisational responses (bridging and buffering) to disruptive events. Furthermore, we investigate to what extent companies' own capabilities, such as supply chain resilience, influence this relationship.

A web-based survey was distributed among managers involved in supply chain relationship management (e.g. supply chain or purchasing managers). LinkedIn was used to identify and contact adequate respondents, and 221 valid responses were collected. The proposed theoretical model was empirically tested using structural equation modelling based on partial least squares (PLS-SEM).

Results suggest that emotions can shape a firm's response to supply chain disruptions. In fact, managers are more likely to pursue both bridging and buffering strategies as their perception of CEs increases. However, the intensity and underlying motivations for pursuing each strategy differ.

When CEs are perceived by buyer managers, stronger supply chain resilience incentivises the choice of cooperative practices within existing suppliers, thereby reinforcing pre-existing links. We conclude that combining companies' inherent variables or capabilities with managerial cognition and perceptions can improve our understanding of decision-making processes and buyer–supplier relationships.

The purpose of this study is to use empirical data to examine the hierarchical impact of the Internet of things capability on supply chain integration (SCI), supply chain capability (SCC) and firm performance (FP) in the UK retail industry.

A deductive approach was employed to carry out this research. Structural equation modelling (SEM) was performed using the partial least square method (SmartPLS 3.3.3) to test theoretical predictions which underlie the relationships among Internet of things capability (IoTC), SCI, SCC and FP. Data are collected using an online survey completed by senior executives of 66 large, medium and small firms within the UK retail industry.

The empirical results of this research reveal that IoTC has a significant positive effect on the UK retail industry FP through the mediating role of SCI and SCC.

The research results from this study provide useful management insights for firms within the retail industry into the development of effective strategies for integrating their supply chain alongside the adoption of IoTC into SCI, consequently leading to improvements in FP.

Although previous studies have explored the impact of IoT on FP through the sequential mediating role of SCI and SCC, few have explored the impact of the IoT capability (IoTC) on FP through sequential mediators, i.e. SCI and SCC. This study examines the relationship between IoTC, SCI, SCC and FP in the UK retail industry supply chain to address this knowledge gap. Moreover, this study examines the effects of IoTC on FP by applying partial least square (PLS)-SEM techniques. Testing the sequential mediating role of SCI and SCI is undertaken, and the relationships among IoT-enabled SCI and SCC is analysed to improve FP. The robustness check's result through PLSpredict analysis also confirms the power of the model proposed in this study.

This study investigates the impact of social media marketing activities on customer purchase intention in the Malaysian property market.

The study utilises a survey research approach to collect data from 331 respondents using a questionnaire.

The findings of the study reveal that entertainment, interaction, customisation and word-of-mouth variables had a significant and positive impact on customer purchase intention in the Malaysian property market. However, the study demonstrates a positive but insignificant impact of trendiness on customer purchase intention.

First, the study relies on a sample of 331 respondents in Malaysia, which may limit the generalizability of the findings to a broader population. Hence, future research could aim for a more extensive and diverse sample to enhance the validity of the results. Second, while the study identified significant relationships, the measurement of variables, in particular “trendiness,” could be refined for better accuracy. The future study may consider including a more precise measurement to provide comprehensive insights.

The results suggest that marketers should focus on creating engaging and interactive content, providing personalised experiences and leveraging word-of-mouth recommendations to enhance customer purchase intention. The overall findings highlight the importance of social media marketing activities in the property market and their potential to drive customer purchase intention.

The study contributes to the existing literature by shedding light on the role of social media marketing activities in influencing customer purchase intention in the Malaysian property market.

To the best of the authors’ knowledge, there is no similar studies have been conducted in this area of research.

Digitalisation is reshaping the learning process, shifting it towards personalisation and online learning, and fuelling the growth of massive open online courses (MOOCs) and micro-credentials. Despite being a popular global trend, limited studies have looked at micro-credentials and their impact on learners' behavioural outcomes. The purpose of this study is to investigate the impact of programme design factors on learning experience, as well as the inter-relationships between programme design, learning experience and behavioural responses (e.g. engagement and willingness to pay more (WTPM)) towards micro-credentials. In addition, the study aims to investigate learning enjoyment as a moderator.

A survey questionnaire was used to collect data from 354 respondents who are working adults living in the major economic states in Malaysia. Data analysis was performed using the analysis of a moment structures (AMOS) statistical software and SPSS (Statistical Package for the Social Sciences) PROCESS macro.

The results show the significance of programme design factors (i.e., flexibility, system quality and content quality) in determining the learning experience. The learning experience is found as a mediator in the relationship between programme design factors and learner engagement and WTPM. In addition, the moderation assessment confirms that enjoyment during learning strengthens the relationship between experience and behavioural responses.

This study is amongst a few selected studies that focus on engagement in and WTPM for micro-credentials. In addition, it emphasises the mediating role of the learning experience and the moderating role of enjoyment in understanding the impact of programme design on learners' experiences and behavioural responses.

This study aims to explore the role of international ambidexterity (IA) in improving the innovation capability of emerging market multinationals. In particular, the main purpose of this research is to study the relationship amongst digitalisation, IA and innovation performance (IP) amongst multinational enterprises in China’s healthcare industry.

The data for this investigation were collected from 134 listed companies in China’s healthcare industry during the study period. This study tested the hypotheses by constructing a two-way fixed-effects model.

The results show that both the balance dimension and the combined dimension of IA have significant positive effects on IP. Digitalisation not only has a direct positive effect on IP but also positively moderates the positive correlation between IA and IP.

Previous studies have not captured the relationship between ambidexterity, digitalisation and IP, and this study helps to fill in the gap and examine these associations in China’s healthcare industry. The results of this study provide valuable insights for healthcare industry managers to understand the role of ambidexterity and digitalisation in innovation in the context of internationalisation.

The study analyzes brand love in local eco-hijab fashion (LEHF) by discussing the value of collectivism, fashion consciousness, environmental value, religiosity and brand advocacy. LEHF becomes the trend pursued by consumers, so this can create market opportunities to optimize marketing strategies. The focus on LEHF in a sustainable fashion would allow local businesses to develop local values-based companies. This study uses the value attitude-behavior model to analyze data.

This research uses a quantitative survey to obtain data. The questionnaire is spread to 300 respondents with a purposive sampling approach, especially respondents who have worn LEHF.

This study shows that collectivism values, fashion consciousness, environmental values and religiosity influence brand love, while brand love influences brand advocacy related to LEHF. On the other hand, consumers are the target market with a fashion consciousness to follow the trend of hijab clothes. This also shows they wear clothes to fulfill religious values while prioritizing the latest styles.

Since this study focuses on LEHF, this product is only relevant to hijab fashion. This takes into account the potential of Muslim-dominated Indonesian society. The fashion category can be enlarged to include more local products in future studies. A large selection of goods may promote greater use of regional interests.

For business actors, particularly micro and medium firms that are just starting to grow to support the local hijab fashion industry company, this research has managerial implications. This presents a chance for business actors to improve the local economy and opens doors for establishing more employment possibilities. The growth of the regional hijab fashion market offers an opportunity to satisfy the demands of customers who favor regional goods. Brand love in LEHF may foster business revenue growth and help local firms compete favorably with international brands. Marketers for LEHF are anticipated to intensify their efforts to advance socialism, the environment and fashion sensibility. Additionally, LEHF marketers emphasize the importance of religiosity when promoting their products to the target population. Marketers are also aware that the study’s environment is Indonesia, which has 90% Muslim population. Marketers have an excellent opportunity to maximize this scenario.

This study also had social implications. The goal of producing locally made eco-hijabs is to benefit nearby communities and the environment. This aligns with the more general objectives of ethical and sustainable fashion. Sustainable methods are used in production, such as using eco-friendly colors, water conservation and waste reduction. Sustainable manufacturing methods are designed to reduce their adverse effects on the environment and encourage ethical production. Empowerment and community engagement may be involved in the manufacturing of locally-made eco-hijabs. This can entail educating and hiring regional craftspeople or incorporating neighborhood residents in manufacturing.

The study focuses on religiosity and environmental value to further analyze its influence on LEHF. The context of the products analyzed in this study is LEHF, which prioritized local production and strengthened local wisdom through pro-environment. The study used the VAB (value, attitude, behavior) model to analyze the concept.

This study aims to assess the feasibility and effectiveness of incorporating predictive maintenance (PdM) into existing practices of spare part inventory management and pinpoint the barriers and identify economic values for such integration within the supply chain (SC).

A two-staged embedded multiple case study with multi-method data collection and a combined discrete/continuous simulation were conducted to diagnose obstacles and recommend a potential solution.

Several major organisational, infrastructure and cultural obstacles were revealed, and an optimum scenario for the integration of spare part inventory management with PdM was recommended.

The proposed solution can significantly decrease the inventory and SC costs as well as machinery downtimes through minimising unplanned maintenance and addressing shortage of spare parts.

This is the first study with the best of our knowledge that offers further insights for practitioners in the Industry 4.0 (I4.0) era looking into embarking on digital integration of PdM and spare part inventory management as an efficient and resilient SC practice for the automotive sector by providing empirical evidence.

The purpose of this research is to determine how supply chain management (SCM) might be less affected by COVID-19 by using innovative technologies such as the Internet of Things (IoT), eco-friendly corporate practices and other digital advancements. It strongly emphasizes the use of technology to improve supply networks’ and Omani firms’ performance.

Using a mixed-methods research strategy, this study integrates both qualitative and quantitative approaches. It involves a survey and interviews with supply chain and IT managers from various industries in Oman to gather data and evaluate the impact of technology on SCM.

This study finds that IoT capabilities, smart technologies (STs) and green practices significantly mitigate COVID-19 impacts on SCM. The performance of the supply chain and the business are both improved by these technologies’ positive effects on integrating various supply chain elements, such as suppliers, internal processes and customer relations.

The main constraint of this study is its concentration on businesses in Oman, potentially restricting the applicability of its findings to broader contexts. Future studies could investigate similar frameworks across various geographic and industry settings.

The findings suggest that incorporating STs into SCM is crucial for enhancing operational efficiency and resilience against disruptions such as COVID-19. This offers valuable insights for managers and policymakers in adopting technology-driven strategies for SCM.

This study highlights the significant role of technology in sustaining supply chains during pandemics, thereby supporting economic stability and societal well-being. It underscores the importance of technological advancements in maintaining supply chain continuity in challenging times.

By empirically examining the effect of emerging technologies on enhancing SCM in the context of the COVID-19 pandemic, specifically in the Oman market, this research makes a unique contribution to the body of knowledge.

This study aims to propose and develop a new digital collaborative supply chain (CSC) model completely based on the emerging Industry 4.0 technologies. The digital model aims to support the main factors likely to affect CSC. This proposed model combines the most well-known digital tools such as blockchain technology, Internet of Things (IoT) and cloud computing (CC).

Motivated by its effective solution to enhance trust, traceability, transparency and minimize costs and risks, the combination of the most well-known digital tools such as blockchain technology, IoT and CC to develop a new digital CSC model is addressed in this research. This study first investigates and conducts a deep review analysis that explores how Industry 4.0 technologies can enable collaboration mechanisms. Second, based on an analysis of literature review, the main factors likely to affect CSC have been identified and analysed. Finally, the authors combine digital tools to support the identified factors to enhance transparency, traceability and trust by proposing a new digital CSC model. This proposed model will be used as a referential guide to encourage and motivate SC actors to collaborate in digital CSC.

This work provides many important contributions to theory and practice. First, role and impacts of the most well-known digital tools such as blockchain technology, IoT and CC for digitizing CSC have separately presented and developed. Second, the authors conceptualized a framework by developing a new digital CSC model. This conceptual digital model can be used as a referential guide for all SC actors in order to motivate them to collaborate in a modern, intelligent, secure and reliable SC. It can also support all factors affecting CSC.

The originality of this study is first investigating separately the roles and impacts of each digital tool on CSC performance. Second, the authors combine the most well-known digital tools such as blockchain technology, IoT and CC in order to develop an efficient, smart, modern and new digital CSC model. In this combination, CC is used as platform as a service enabling to link and connect the blockchain and IoT to support the main factors affecting CSC. Unlike to digital CSC model with only one digital tool, the proposed model is more realistic since depending on the information to be shared with other actors, the most appropriate tool will be automatically detected and used. This solution offers a large choice to SC actors for real time data and information sharing. In addition, the proposed model will largely enhance traceability, transparency and trust in CSC.

Recent disruptions have sparked concern about building a resilient and sustainable manufacturing supply chain. While artificial intelligence (AI) strengthens resilience, research is needed to understand how cloud adoption can foster integration, collaboration, adaptation and sustainable manufacturing. Therefore, this study aimed to unleash the power of cloud adoption and AI in optimizing resilience and sustainable performance through collaboration and adaptive capabilities at manufacturing firms.

This research followed a deductive approach and employed a quantitative method with a survey technique to collect data from its target population. The study used stratified random sampling with a sample size of 1,279 participants working in diverse manufacturing industries across California, Texas and New York.

This research investigated how companies can make their manufacturing supply chains more resilient and sustainable. The findings revealed that integrating the manufacturing supply chains can foster collaboration and enhance adaptability, leading to better performance (hypotheses H1-H7, except H5). Additionally, utilizing artificial intelligence helps improve adaptability, further strengthening resilience and sustainability (H8-H11). Interestingly, the study found that internal integration alone does not significantly impact collaboration (H5). This suggests that external factors are more critical in fostering collaboration within the manufacturing supply chain during disruptions.

This study dives into the complex world of interconnected factors (formative constructs in higher order) influencing manufacturing supply chains. Using advanced modeling techniques, it highlights the powerful impact of cloud-based integration. Cloud-based integration and artificial intelligence unlock significant improvements for manufacturers and decision-makers by enabling information processes and dynamic capability theory.