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This study conducts a thorough literature review and meta-analysis to explore the adoption of blockchain technology (BCT) in supply chain management (SCM). It aims to identify the potential benefits, challenges, and critical factors influencing the implementation of this technology in supply chains.

A systematic analysis of 157 highly cited publications is performed, offering insights into research trends, citations, industries, research methods, and contextual aspects. Thematic analysis is employed to uncover key findings regarding enablers, barriers, drivers, challenges, benefits, and drawbacks associated with BCT adoption in supply chains.

The analysis highlights the complexities and opportunities involved in adopting BCT in SCM. A proposed model aligns with five dimensions, including inter-organizational, intra-organizational, technological, legal, and to assist businesses in harnessing the potential of BCT, overcoming obstacles, and managing challenges. This model provides practical recommendations for navigating the intricacies of BCT implementation while balancing associated challenges and risks.

Organizations operating in supply chains can leverage the insights gained from this investigation to position themselves at the forefront of BCT adoption. By implementing the proposed model, they can unlock benefits such as increased transparency, efficiency, trust, and cost reduction.

The novelty of this paper lies in its extensive review of publications on Blockchain Technology adoption in supply chains. It offers insights into various aspects such as enablers, barriers, drivers, challenges, benefits, and drawbacks. Additionally, the paper presents a comprehensive model specifically designed for successful adoption of Blockchain Technology in supply chains. This model addresses multiple dimensions including inter-organizational, intra-organizational, technological, legal, and financial.

The theoretical background bases on the big data analytics-artificial intelligence (BDA-AI) technologies and supply chain ambidexterity (SCAX) in the firms to assess their sustainability endeavors such as green supply chain management (GSCM) to improve their green communication and corporate image.

Around 220 participants in the manufacturing firms are participants' industry expertise, diverse roles, and representation as key stakeholders.

The results show BDA-AI and SCAX affected on GSCM and found the significant relationships with green communication and corporate image. Green communication was discovered to impact corporate image significantly.

Prior studies are neglected to address the relationship among the AI, powered by rapid computational and BDA breakthroughs, redefines cognitive tasks, achieving feats previously deemed impossible-making implicit judgments, simulating emotions, and driving operations. This study selects manufacturing firms as respondents due to their forefront of BDA-AI and supply chain ambidexterity adoption to benefit the operational efficiency and competitiveness. The firms intricate supply chains, diverse stakeholders, and strategic emphasis on corporate image make it an ideal context to examine the nuanced impact of these technologies.

Despite the wide use of quantitative assessment to identify the relationship between green logistics (GL) practices and the sustainability performance (SP) of firms, results of these studies are inconsistent. A lack of theoretical foundation has been cited as a potential reason for these contradictory findings. This study aims to explore the relationship between GL practices and SP qualitatively and to provide a theoretical foundation for this link.

Following a multi-methodology approach, the authors used the grounded theory method (GTM) to investigate perceived relationships through qualitative analysis and adopted the system thinking (ST) approach to identify causal relationships using causal loop diagrams (CLDs).

The authors identified different sustainability practices under three major categories: logistics capabilities, resource-related practices and people-related practices. This analysis showed the relationships among these practices are non-linear. Based on the results, the authors developed three propositions and introduced a theoretical foundation for the relationship between GL practices and SP.

Managerial personnel can use the theoretical foundation provided by this study when making decisions on GL practices adoption. This theoretical foundation suggests applying a holistic approach that can help optimize SP by selecting suitable practices. On the other hand, researchers can use a multi-methodology approach suggested by this study to explore complex social issues.

This study contributes to the knowledge from a methodology perspective as no previous studies have been conducted to identifying the relationship between GL practices and SP by combining GTM and ST approaches. This combination can be extended to build system dynamics models for sustainable logistics impacts bringing novelty to the research field of sustainable logistics.

Although the literature provides insights into the role of experiential learning based on prototypes in identification of latent customer need, it offers different views on the role of product prototypes in improving the efficacy of learning customer need, and also neglects the role of vicarious learning in prototype-based experiential learning. In a data-rich environment, market big data create new opportunities to learn from vicarious, digitalized experiences that are not observable with prototype-based learning. Therefore, the purpose of this study is to compare the effects of product prototype strategies – basic prototype strategy and enhanced prototype strategy – on identification of latent customer needs, and determine how each prototype strategy interacts with vicarious learning based on market big data to identify latent customer needs.

We collected data from 299 Chinese manufacturing firms via on-site surveys to explore our research question. All of our hypotheses were supported by the regression results.

This study finds that both the enhanced and basic prototype strategies (experiential learning from direct market experience based on prototyping) have positive effects on latent need identification, but the effect of enhanced prototypes is stronger. Furthermore, the enhanced and basic prototype strategies have different interaction effects with market big data (vicarious learning from indirect market experiences) on latent need identification.

This research extends the literature on prototype-based learning for latent need identification. It also contributes to the experiential prototype-based learning literature by exploring the role of vicarious learning based on market big data.

The purpose of this study is to explore green innovation and its role in driving competitiveness in Ecuadorian manufacturing firms, focusing on structural equation modelings, which account for more than 90% of the productive units and aggregate national income. The manufacturing sector in Ecuador reports variable growth since the start of the COVID pandemic, drawing more attention from practitioners, regulators and scholars alike, due to its distinctive footprint on people, profit and planet, particularly in the context of developing economies.

A model with two second-order constructs is developed and tested in a sample of 325 managers from manufacturing firms in Ecuador, using quantitative and cross-section methods.

After obtaining adjusted and validated metrics, a structural equation model is presented, where the main hypothesis is confirmed, supporting the positive impact of green innovation on competitiveness.

The research provides evidence on how manufacturing firms favoring green innovation in their long-term planning can unlock and sustain competitiveness. Policymakers could then offer incentives for firms to embed sustainable practices, with potential ripple effects along the supply chain, aggregating up competitiveness to industry and national levels.

The study aims to bridge the existing knowledge gap on the interplay of green innovation and competitiveness, claiming that the former significantly influences the latter, in an emerging market context, with incremental gains for all stakeholders, as posited by stakeholder theory.

El propósito de esta investigación es explorar la innovación verde y su rol en la generación de competitividad en las empresas manufactureras ecuatorianas, centrándose en las PYMES, que representan más del 90 por ciento de las unidades productivas y del ingreso nacional agregado. El sector manufacturero en Ecuador reporta un crecimiento variable desde el inicio de la pandemia de COVID, lo cual atrae la atención de profesionales, reguladores y académicos por igual, debido a su huella distintiva en la sociedad, la rentabilidad y el planeta, particularmente en el contexto de las economías en desarrollo.

Se desarrolla y estima un modelo con dos constructos de segundo orden, en una muestra de 325 gerentes de empresas manufactureras del Ecuador, utilizando métodos cuantitativos y transversales.

Tras obtener métricas ajustadas y validadas, se presenta un modelo de ecuaciones estructurales, donde se confirma la hipótesis principal, sustentando el impacto positivo de la innovación verde en la competitividad.

Aportamos evidencia empírica sobre cómo las empresas manufactureras que favorecen iniciativas ecológicamente innovadoras en su planificación a largo plazo, pueden generar y sostener competitividad. Los reguladores podrían eventualmente diseñar incentivos para que las empresas incorporen prácticas sustentables, acumulando beneficios en la cadena de suministro, e incrementando así la competitividad a nivel de la industria y de la economía en su conjunto.

Nuestro estudio aspira contribuir a cerrar la brecha en la literatura en la convergencia entre la innovación verde y la competitividad, argumentando que la primera influye significativamente en la segunda, en un contexto de mercado emergente, con beneficios incrementales para todas las partes interesadas, como lo postula la teoría de stakeholders.

O objetivo desta pesquisa é explorar a inovação verde e seu papel na promoção da competitividade nas empresas manufatureiras equatorianas, com foco nas PMEs, que representam mais de 90% das unidades produtivas e da renda nacional. O sector manufatureiro no Equador regista um crescimento variável desde o início da pandemia da COVID, atraindo mais atenção tanto de profissionais, reguladores como académicos, devido à sua pegada distinta nas pessoas, nos lucros e no planeta, particularmente no contexto das economias em desenvolvimento.

Um modelo com dois construtos de segunda ordem é desenvolvido e testado em uma amostra de 325 gestores de empresas industriais no Equador, utilizando métodos quantitativos e transversais.

Após a obtenção de métricas ajustadas e validadas, é apresentado um modelo de equações estruturais, onde é confirmada a hipótese principal, apoiando o impacto positivo da inovação verde na competitividade.

A nossa investigação fornece evidências sobre como as empresas industriais que favorecem iniciativas ecologicamente inovadoras no seu planeamento a longo prazo, podem aumentar e sustentar a competitividade. Os decisores políticos poderiam então oferecer incentivos às empresas para incorporar práticas sustentáveis, com potenciais efeitos em cascata ao longo da cadeia de abastecimento, agregando competitividade aos níveis industrial e nacional.

O nosso estudo visa colmatar a lacuna de conhecimento existente sobre a interação entre inovação verde e competitividade, alegando que a primeira influencia significativamente a última, num contexto de mercado emergente, com ganhos incrementais para todas as partes interessadas, conforme postulado pela teoria dos stakeholders.

The purpose of this study was to examine the impact of strategic leadership (SL) on business operational resilience (OR) in the hotel industry in Egypt, namely, during and after the pandemic. This investigation also aimed to explore the mediating function of crisis response strategies (CRSs) and organisational e-readiness (Oe-R) in this relationship.

The researchers conducted a cross-sectional study using a questionnaire as the primary data collection method. Using partial least squares structural equation simulation (PLS-SEM), the study used a comprehensive sample that targets the general managers of all five-star hotels in Egypt.

Results indicated that SL has a positive impact on CRSs and Oe-R. Furthermore, the results reveal a positive influence of Oe-R on both CRSs and hotel OR. On the other hand, CRSs do not influence hotel OR. The findings showed that CRSs fully mediate the link between SL and OR. However, CRSs do not serve as a mediator between Oe-R and OR. Furthermore, the findings showed that Oe-R partially mediates the link between SL and both OR and CRSs.

The study yields unique and valuable theoretical and practical insights to guide hotel leaders and managers towards adaptive recovery and resilience in turbulent and crisis-ridden environments by demonstrating that the combined mediating function of CRS and Oe-R is more effective in strengthening the relationship between SL and OR.

This study represents a pioneering investigation that establishes a correlation between SL and OR, either through direct or indirect means. The research examines the involvement of CRSs and Oe-R as collaborative mediators in this relationship. Previous studies undertaken in the hotel industry and service sector have not investigated this specific element.

This study aims to fully assess the readiness for Lean Six Sigma (LSS) and Quality Performance Improvement (QPI) in an Italian Public Healthcare ecosystem.

Drawing from previously established survey development and adaptation protocols, a replication study was carried out; Lean, Six Sigma and QPI were extracted and validated through confirmatory factor analysis in an Italian Public Healthcare setting, with a sample of health professionals from the Campania region.

This study reports the adaptation of an existing scale for measuring LSS and QPI in an Italian public healthcare organisation. This analysis extracts six conceptual domains and constitutes an original adaptation of an existing scale to assess the readiness to adopt Lean, Six Sigma and Quality Performance in Italian Public Health Organizations. The constructs show strong levels of internal consistency, as demonstrated by each item factor loading and each subscale reliability.

Managers, policymakers and academics can employ the proposed tool to assess the public healthcare ecosystem’s capability to implement LSS initiatives and strategies to improve quality performance.

This is one of the first studies to assess cross-regional organisational readiness for LSS and QPI in an Italian Public Healthcare environment at this scope and level.

This research aims to analyze the customer satisfaction associated with experiences from 14 ecological hotels in Ecuador by exploring online guest reviews and classifying the most influential factors.

This study applied big data exploration, semantic network analysis, EFA and linear regression. It processed 22,629 online reviews from Google/travel, extracting 100 words with the highest frequency. In addition, CONCOR analysis built a comprehensive structural model gathering essential keywords. Furthermore, exploratory factor analysis and regression were conducted to explore the elements that best express customer satisfaction in ecological hotels.

The words such as green, sustainable, recycle, environment and ecological were not found among the main attributes extracted. Nonetheless, the keywords obtained reflect customer satisfaction, revealing that green practices do not affect comfort and the guests' experience. CONCOR analysis displayed four categories associated with satisfaction: tangibles, experience, location and empathy. Then, EFA restructured and revealed the factors: facilities feature, assurance, reliability, location and experience. Lastly, the regression disclosed location, assurance and facilities features as the most significant factors for customer satisfaction in the 14 ecological hotels. The terms related to the hotel area, staff care and hotel amenities were decisive for guests.

This study demonstrated that employee courtesy and location are the keys to enhancing customer experience and satisfaction. Hotel managers must promote green attributes and practices to increase customer awareness through constant staff training and information disclosure in common areas.

These findings provide insight and empirical evidence for hoteliers to understand how and what guest perceive to be green practices. By identifying the main features or concepts associated with satisfaction in Ecuador's green hotels, hoteliers could address new strategies to respond to expectations, effectively satisfy customers and provide a superior experience.

Storytelling-driven messaging for luxury hotels is a robust social media marketing strategy to boost electronic word of mouth (e-WOM) and induce visit intention. This paper focuses on individual-related characteristics related to imagery processing and explores their relationship with brand trust and narrative transportation. Gender is examined for its potential moderating impact on relationships revolving around e-WOM intent formation.

This study employs the partial least squares-structural equations modelling (SEM) and multi-group analyses (MGA) approaches to examine consumer responses to luxury hotel brands’ Instagram marketing. Data from 268 responses to an online survey was analyzed on Smart PLS4.

Results confirm that comprehension fluency, imagery fluency and narrative transportation are predictors of brand trust. Additionally, brand trust and narrative transportation impact e-WOM intention. The impact of narrative transportation on e-WOM intention is relatively stronger in men; while women exhibit a stronger impact of brand trust on e-WOM intention.

It is recommended that luxury hotel brands create content which is easy to comprehend and also capable of inducing mental imagery, to boost the narrative transportation effect. Content should be tailored to target specific gender segments to enhance e-WOM effectiveness. Detailed strategies for segment-specific content are discussed in the paper.

This study demonstrates how gender differences shape consumer responses to brand storytelling on Instagram, particularly for luxury hotels, filling a notable gap in extant literature.

This study aims to investigate the impact of several constructs on young customers’ consumption of solar energy appliances in an emerging market by extending the theory of planned behavior (TPB).

This study collected primary data from 885 young customers in an emerging market, that is, Vietnam. Subsequently, this study used partial least squares structural equation modeling to investigate the relationships between examined variables.

The results indicated that personal innovativeness, environmental knowledge and renewable energy knowledge significantly improved attitudes toward solar energy appliances. In addition, purchasing intention is promoted by subjective norms and perceived behavioral control. Contradictorily, the perceived functional risk is a significant barrier to purchasing intention. It also negatively moderates two associations: attitude and purchasing intention, attitude and positive word-of-mouth. Despite being proven to influence word-of-mouth positively, attitude has no significant impact on purchasing intention.

These findings suggested several implications for enterprises, technology providers and policymakers to develop renewable energy appliance consumption.