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The purpose of this paper is to investigate the relationship between capabilities and renewal of organizational and business know-how in franchise networks.

This work uses a comparative case study of adaptive, absorptive and innovative capabilities to investigate knowledge renewal in 16 franchise networks.

The findings show that adaptive and innovative capabilities complement each other to foster know-how renewal. Furthermore, networks without internal R&D need to mobilize adaptive, absorptive and innovative capabilities to renew both organizational and business know-how. The findings also highlight that the three capabilities are interconnected.

The results of this research could provide insights for franchise networks to regenerate their knowledge base and ensure their long-term survival.

The underlying capabilities that explain organizational and business know-how renewal in franchises have not been investigated.

With the rapid diffusion of the metaverse into all aspects of businesses and the education industry, scholars have predominantly focused on examining its projected benefits and harms, yet have overlooked to empirically explore its unpredictable nature, which offers an exciting realm of unexplored challenges and opportunities.

This research adopts a qualitative research design in the form of 24 interviews from a single EdTech to investigate the possibility of unexpected developments resulting from the integration of the metaverse into its solutions.

Three noteworthy observations have emerged from the analysis: technological obsolescence, resource allocation imbalance, and monoculturalism.

This research pioneers an empirical exploration of the latent outcomes stemming from metaverse adoption within EdTechs, while also introducing a novel theoretical framework termed “meta-governance,” which extends the Edu-Metaverse ecosystem.

The purpose of this paper is to investigate, from a thorough review of the literature, the role of metaverse-based quality 4.0 (MV-based Q4.0) in achieving manufacturing resilience (MFGRES). Based on a categorization of MV-based Q4.0 enabler technologies and MFGRES antecedents, the paper provides a conceptual framework depicting the relationship between both areas while exploring existing knowledge in current literature.

The paper is structured as a comprehensive systematic literature review (SLR) at the intersection of MV-based Q4.0 and MFGRES fields. From the Scopus database up to 2023, a final sample of 182 papers is selected based on the inclusion/exclusion criteria that shape the knowledge base of the research.

In light of the classification of reviewed papers, the findings show that artificial intelligence is especially well-suited to enhancing MFGRES. Transparency and flexibility are the resilience enablers that gain most from the implementation of MV-based Q4.0. Through analysis and synthesis of the literature, the study reveals the lack of an integrated approach combining both MV-based Q4.0 and MFGRES. This is particularly clear during disruptions.

This study has a significant impact on managers and businesses. It also advances knowledge of the importance of MV-based Q4.0 in achieving MFGRES and gaining its full rewards.

This paper makes significant recommendations for academics, particularly those who are interested in the metaverse concept within MFGRES. The study also helps managers by illuminating a key area to concentrate on for the improvement of MFGRES within their organizations. In light of this, future research directions are suggested.

Industrial Revolution 4.0 prompts organizations to adopt emerging technologies, and the healthcare industry is no different from them. Further, it is important to adopt new edge technologies to improve services and the well-being of patients. This research synthesizes the work most influenced by this technology and the trends and usage of Industry 4.0 technologies in the healthcare sector.

The study has used the Scopus and Web of Science databases to retrieve articles published in healthcare and Industry 4.0 for bibliometric analysis. Specifically, Bibliometrix (R-package) and VOSviewer were used to analyze data related to authors, sources, keywords and content analysis.

The study found increased research trends in Industry 4.0 and healthcare in recent years. The USA, India and China are top contributors in this field, showing research progress in developed and developing economies. Dwivedi Y and Kumar A. were top researchers in the field. The finding also reveals that predictive analytics, deep technology and sustainable development are emerging areas for healthcare where Industry 4.0 can play a crucial role.

Using Industry 4.0 technologies can help the company improve its services, operational efficiency and patient care.

The study explored the trends in the healthcare sector for using Industry 4.0 technologies through bibliometric analysis.

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 research examined the role of post-conflict marketing in supporting businesses within conflict-affected regions, aligning with the objectives of UN Sustainable Development Goal 16 to foster peaceful societies amid increasing global conflicts.

Drawing from the theories of social egalitarianism and consumer discrimination, the study explored the moderating influence of conflict stakeholder on consumer willingness to pay (WTP). Understanding such stakeholder roles underscores post-conflict marketing's potential for economic growth and stability. Two experiments assessed the WTP, WTP a premium price and expected attractiveness of strategic products and services developed by key stakeholders (ex-guerrilla, ex-paramilitaries, ex-militaries, victims and other citizens) in the Colombian post-conflict context among both local (Colombian) and foreign (Japanese) consumers.

Results revealed that products associated with victims consistently received higher ratings. A notable contrast emerged as Japanese consumers favoured products of victims over those of regular citizens while rating offerings from ex-paramilitary and retired military stakeholders similarly, unlike their Colombian counterparts.

The study acknowledges limitations regarding participants' geographic location and experimental design, providing insights for future research and potential refinements.

The findings offer insights into the impact of consumer attitudes on post-conflict stakeholder entrepreneurship in foreign and local markets, thus contributing relevant knowledge to support market success.

This is the first study assessing the role of various post-conflict stakeholders in influencing consumer evaluations of products and services. Consequently, these findings contribute to the foundational understanding of post-conflict marketing and offer a benchmark for business development in conflict-affected areas.

Examinar el papel del mercadeo en el apoyo a emprendimientos en regiones afectadas por conflictos, alineándose con el ODS 16 de la ONU para impulsar sociedades pacíficas en medio del aumento de los conflictos.

Basada en las teorías del igualitarismo social y discriminación del consumidor, el estudio exploró la influencia de las percepciones hacia actores del posconflicto en el comportamiento de consumo. Dos experimentos evaluaron la disposición a pagar (DAP), DAP un precio superior y la atractividad de productos y servicios desarrollados por actores del posconflicto colombiano (exguerrilleros, exparamilitares, exmilitares, víctimas, otros ciudadanos) entre consumidores locales (colombianos) y extranjeros (japoneses).

Los productos desarrollados por las víctimas recibieron valoraciones más altas. Además, los consumidores japoneses, a diferencia de los colombianos, prefirieron los productos de las víctimas a los de “otros ciudadanos” y valoraron de manera similar los de exparamilitares y exmilitares.

Los resultados ofrecen una visión precisa del impacto de las actitudes de los consumidores sobre los productores del posconflicto en los mercados extranjeros y locales, contribuyendo a la reintegración económica, el crecimiento y la reconciliación social.

El estudio reconoce posibles limitaciones en el diseño experimental, proporcionando ideas para investigaciones futuras.

Se trata del primer estudio que evalúa el papel de los actores de un posconflicto como productores en la valoración de productos y servicios. Estos resultados contribuyen a la comprensión del mercadeo del posconflicto y ofrecen un punto de referencia para el desarrollo empresarial en zonas afectadas por conflictos.

This paper aims to classify journal papers in the context of hybrid quality function deployment QFD and multi-criteria decision-making (MCDM) methods published during 2004–2021.

A conceptual classification scheme is presented to analyze the hybrid QFD-MCDM methods. Then some recommendations are given to introduce directions for future research.

The results show that among all related areas, the manufacturing application has the most frequency of published papers regarding hybrid QFD-MCDM methods. Moreover, using uncertainty to establish a hybrid QFD-MCDM the relevant papers have been considered during the time interval 2004–2021.

There are various shortcomings in conventional QFD which limit its efficiency and potential applications. Since 2004, when MCDM methods were frequently adopted in the quality management context, increasing attention has been drawn from both practical and academic perspectives. Recently, the integration of MCDM techniques into the QFD model has played an important role in designing new products and services, supplier selection, green manufacturing systems and sustainability topics. Hence, this survey reviewed hybrid QFD-MCDM methods during 2004–2021.

This paper aims to study antiques enthusiasts’ perspectives on the recent stagnancy in the antiques market, along with their suggestions on how the antiques trade can forge a more secure path forward.

Using a qualitative analysis approach through netnography, this paper examines archived comments of antiques enthusiasts on a “r/antiques” subreddit.

This research studies connoisseurs’ insights into the reduction in antiques sales experienced by a wide cross-section of sellers, particularly independent and small business retailers. Specifically, the results of this paper’s discourse analysis show that technological advances on one hand and socioeconomic factors (e.g. income, family structure and lifestyle) on the other hand have had a significant negative impact on demand for antiques. In addition, specific attributes such as authenticity and sustainability emerged as potential key marketing elements for invigorating the broader public’s interest in purchasing antiques.

Despite their significant insights into the antiques market, antiques enthusiasts have not received the academic attention they deserve. Through discourse analysis of comments in an online antiques community, this paper draws attention to the vulnerabilities of antiques markets to a protracted climate of slow sales, while highlighting potential strategies on how to turn the tide for struggling antiques stores.

This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.

To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.

The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.

Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.

This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.

Peace engineering and compassionate operations can unlock the potential of emerging technologies for social good. This work aims to investigate the integration of peace engineering and compassionate operations by proposing an integrative framework and identifying the main drivers regarding social good, considering the Sustainable Development Goals (SDGs) landscape.

The authors used a two-stage methodology by employing a narrative literature review in the first stage to identify the relationships and drivers and propose an original framework. In the second stage, the authors utilized an expert panel to validate the framework’s drivers.

The authors identified five main categories related to peace engineering and compassionate operations, which were then used to support the categorization of the drivers. In the second stage, the authors validated the drivers with a panel of academicians and experienced industry practitioners.

The proposed framework can provide insightful directions for practitioners and governments to develop strategies and projects in different contexts, including humanitarian logistics, climate change crises, supply chain disruptions, etc.

This work makes unique contributions by reinvigorating an amalgamation of the peace engineering and compassionate operations arenas and their integration with the SDGs to enable enhanced social good, supported by cutting-edge technologies. Thus, this framework’s contributions encompass essential theoretical, managerial, and social implications.