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Prior to managing a company’s processes in the presence of a combination of paradigms, there is a need to understand their underlying interaction. This paper systematically reviews the existing literature that discusses the interaction between lean production (LP) and the fourth industrial revolution (i.e. Industry 4.0). The study aims to understand how the interaction unfolds and whether it is synergistic.

The research relies on a systematic literature review of peer-reviewed articles from Scopus and Web of Science that discuss the interaction between the two paradigms. The final set of articles pertaining to the topic was analysed.

The article presents that the interaction between the two paradigms occurs through a representation of the pillars of the House of Lean (HoL) interacting with the nine technological pillars of Industry 4.0. There is a consensus on the synergistic nexus among the pillars and their positive impact on operational performance. We also demonstrate the weights of the interactions between the two paradigms and the areas of operations management where this interaction takes place through Sankey charts. Our research indicates that the largest synergistic interaction occurs between just-in-time and industrial Internet of Things (IIoT) and that companies should invest in IoT and cyber-physical systems as they have the greatest weight of interactions with the pillars of the HoL.

This research facilitates a deeper insight into the interaction between LP and Industry 4.0 by organising and discussing existing research on the subject matter. It serves as a starting point for future researchers to formulate hypotheses about the interaction among the various pillars of LP and Industry 4.0, apply these interactions and test them through empirical research.

It could serve as a guide for managers to understand with which interactions they should start the digitalisation process.

With the rise in discussions on the interaction between the two paradigms, there is still an opportunity to understand the specificity of this interaction. Compared to the initial seminal works on the subject, such as Buer et al. (2018b), which investigated the direction of interaction between the two paradigms, this research contributes to further investigating this specificity and gaining a better understanding of the relationship governing the interaction between LP and Industry 4.0 by delineating the interaction state among the pillars of the two paradigms and its relevant importance.

Service robots present a new frontier in the provision of services, with far-reaching implications for customers and managers alike. The purpose of this chapter is to examine how service robots impact service providers' current marketing strategies. For this, the authors perform an integrative, nonsystematic review of international gray and academic literature to understand how both practitioners and academics perceive the impacts of the technology. Based on this analysis, the present work identifies three key themes that emerge from the current state of practitioner and academic research, namely (1) service robots demand new core business capabilities and competencies, (2) service robots offer new value propositions, and (3) service robots impact not only service providers' cost structures but also revenue streams. These insights are combined into the Service Robot Innovation Canvas, a visual tool for service providers to identify the impact of service robot implementations on a company's marketing strategy. In addition, based on the analyzed literature, the most pressing questions for researchers are laid out in a research agenda.

This study aims to examine the role of mindfulness in promoting customers’ purchase intentions, especially with the mediation effects of perceived ease of use and perceived usefulness toward online ride-hailing services. As such, several recommendations for ride-hailing service providers and researchers are suggested for better implementation in a practical and theoretical context.

The data collection process is carried out online during the period of February 2022 to March 2022, with a sample of 237 respondents being analyzed by the covariance-based structural equation modeling approach.

First of all, mindfulness had a direct influence on perceived ease of use and perceived usefulness, as well as an indirect influence on purchase intention through the mediation role of perceived usefulness. Besides, perceived usefulness is found to have a positive influence on the customer’s purchase intention, while perceived ease of use positively affects both perceived usefulness and intention.

This study just ends with customers’ intentions to adopt ride-hailing services; nevertheless, the actual behavior has not been examined. Further research might consider actual usage as a dependent factor when investigating the topic of ride-hailing services.

This study is notably different from the existing literature by filling the literature gap on the role of mindfulness in promoting customers’ purchase intentions toward ride-hailing services.

Este estudio tiene como objetivo examinar el papel del mindfulness en la promoción de las intenciones de compra de los clientes, especialmente con los efectos de mediación de la facilidad de uso percibida y la utilidad percibida hacia los servicios de transporte en línea. De este modo, se sugieren varias recomendaciones para los proveedores de servicios de transporte en coche y los investigadores para una mejor aplicación en un contexto práctico y teórico.

El proceso de recopilación de datos se lleva a cabo en línea durante el período de febrero de 2022 a marzo de 2022, con una muestra de 237 encuestados que se analizan mediante el enfoque CB-SEM.

En primer lugar, mindfulness tuvo una influencia directa sobre la facilidad de uso percibida y la utilidad percibida, así como una influencia indirecta sobre la intención de compra a través del papel de mediación de la utilidad percibida. Además, se observa que la utilidad percibida influye positivamente en la intención de compra del cliente, mientras que la facilidad de uso percibida afecta positivamente tanto a la utilidad percibida como a la intención.

Este estudio se limita a analizar la intención de los clientes de adoptar los servicios de transporte rápido; sin embargo, no se ha examinado el comportamiento real. En futuras investigaciones se podría considerar el uso real como un factor dependiente a la hora de investigar el tema de los servicios de transporte rápido.

Este estudio es notablemente diferente de la literatura existente al llenar el vacío bibliográfico sobre el papel de mindfulness en la promoción de las intenciones de compra de los clientes hacia los servicios de ride-hailing.

本研究旨在探讨 “正念 “在促进顾客购买意向方面的作用, 尤其是在感知易用性和感知有用性对在线叫车服务的中介效应方面。因此, 本研究为叫车服务提供商和研究人员提出了若干建议, 以便在实践和理论背景下更好地实施这些建议。

数据收集过程于 2022 年 2 月至 2022 年 3 月期间在线进行, 采用 CB-SEM 方法对 237 个受访者样本进行分析。

首先, 正念对感知易用性和感知有用性有直接影响, 并通过感知有用性的中介作用对购买意向产生间接影响。此外, 还发现感知有用性对顾客的购买意向有积极影响, 而感知易用性对感知有用性和购买意向都有积极影响。

本研究仅对顾客采用打车服务的意向进行了分析, 但并未对实际行为进行研究。在研究叫车服务时, 进一步的研究可能会将实际使用情况作为一个因果因素。

独创性 本研究填补了关于正念在促进顾客乘车服务购买意向方面作用的文献空白, 与现有文献有明显不同。

Recently, the concept of the circular economy (CE) has witnessed significant momentum in academic and professional circles. However, there is a dearth of research that studies the enabling factors of the CE in the era of digital transformation. The existing research aimed to identify the impact of Industry 4.0 readiness on the CE in manufacturing firms operating in Jordan, as well as to identify the mediating role of the industrial Internet of things and big data analytics.

For this work objectives, 380 questionnaires were analyzed. Convergent validity and discriminant validity tests were performed through partial least squares-structural equation modelling (PLS-SEM) in the Smart-PLS programme. Data reliability was confirmed. A bootstrapping technique was used to analyze the data and then hypothesis testing was performed.

The results indicate that Industry 4.0 readiness, industrial Internet of things (IIoT) and big data analytics positively enable CE, also the IIoT and big data analytics positively mediate the nexus between Industry 4.0 readiness and CE.

This study promotes the idea of focusing on Industry 4.0 readiness to enhance CE in the Jordanian manufacturing sector and knowing the effect of IIoT and big data analytics in this relationship.

This research developed a theoretical model to understand how Industry 4.0 readiness might enhance the CE in manufacturing firms by invoking the IIoT and big data analytics as mediating constructs in the relationship between Industry 4.0 readiness and CE. This paper offers new theoretical and practical contributions that add value to industry 4.0 and CE literature by testing these constructs' mediation models in the manufacturing sector.

Joint ventures (JVs) serve as a viable tool in mitigating some of the challenges posed to the effective delivery of construction projects. However, JVs are highly susceptible to failure in most developing countries. Therefore, this study seeks to unravel the critical factors influencing the failure of JVs in the South African construction industry.

A quantitative approach was adopted for the study using a well-structured questionnaire as the instrument for data collection. Respondents for the study were built environment professionals in Gauteng province in South Africa. Data elicited from respondents were analyzed using a four-pronged process which included descriptive statistics, one sample t-test, exploratory factor analysis and confirmatory factor analysis.

Resulting from the analysis conducted, four critical components emerged as the major factors influencing the failure of JVs in the South African construction industry, which are inefficient financial framework, divergent organizational culture, poor project governance and inadequacies from project stakeholders.

The outcome of this study presents a roadmap for stakeholders in the construction industry with the requisite knowledge of the critical factors leading to the failure of JVs, consequently providing a clear path for the successful delivery of JV mandates.

Evidence from literature suggests that several studies have been conducted on the various aspects of JVs in the South African construction industry; however, none has focused on the leading factors attributed to the failure of JVs. Also, the findings of this study cultivate a good theoretical platform for future studies on JVs.

The relationships among institutions, entrepreneurship, and economic growth are hotly contested topics. The objective of this present study is to conduct a systematic literature review aimed at comprehensively assessing the relationships between institutional pillars, entrepreneurship and economic growth.

Specifically, a comprehensive analysis of 141 empirical publications was carried out using the PRISMA protocol. The reviewed publications were taken from the Web of Science, Scopus and Google Scholar databases. Thirty-three articles that met the eligibility criteria of quality, relevance and timeliness of the publications were included in the the study.

Three key lessons emerged from the review. First, it was discovered that entrepreneurship and economic growth are influenced by three institutional pillars at various levels, including the regulatory, cognitive and normative pillars. Second, according to the type of institutional quality, the institutional pillars in a causal framework have a good or negative impact on entrepreneurship. Third, novel enterprise creation, self-employment, citizen employment, poverty alleviation, radical innovation, formalization of the informal sector, promotion of competition in existing and new markets, Gross Domestic Product (GDP) growth and the emergence of new business models that significantly improve quality of life.

The study proposes a conceptual framework for further exploring this important relationship based on solid empirical evidence. By providing a theoretically grounded framework, the paper fills the gaps in the literature and helps to clarify the relationship between institutional foundations, entrepreneurship and economic progress.

Food-related innovations might contribute to a qualitative leap in the transition to sustainable food systems. In this article, the authors map the existing literature on food and innovation in order to identify and systematise major research streams and relate them to current discussions on sustainability. The authors rely on a broad definition of innovation covering specific technological innovations as well as social, environmental and system innovations.

The authors analysed the relationship between innovation and food through bibliometric and content analysis, augmented with visualisation based on data (N = 7,987) extracted from the Web of Science. The published volume, research areas and influential journals were investigated using descriptive analyses.

This review categorises the literature on innovation and food into six main clusters, showing that most of the studies are carried out at the macro-level related to the global sustainable food systems. Network visualisation allowed them to distribute recent keywords associated with innovation across the agri-food value chain. Moreover, the authors identified environmental, social and economic pillars of innovation, which not only relate to sustainability but also are associated with open innovation as well as social innovation and eco-innovation.

This bibliometric analysis is amongst the first to examine the holistic knowledge structure surrounding a triple concept of innovation, food and sustainability. In addition, the study identifies research gaps and indicates new research directions, which add further value.

This paper aims to depart from the national innovation system (NIS) arguments that countries' institutional arrangements and performance result from various complementary factors that generate innovative activities and products within economies.

To further explore these dimensions, the main objective of this paper is to address the determinants of global heterogeneity in the innovation outcomes of the nations. Thus, the research employs descriptive data analysis and multivariate regression models, using data from the Global Innovation Index (GII) to analyze innovation systems cross-regionally concerning institutional arrangements and performance. Since 2013, the GII, has annually measured and ranked the innovation inputs and outputs of more than a hundred countries based on a comprehensive and sophisticated approach and a multidimensional perspective.

The author found the empirical results remarkably interesting in many respects. The different indexes of innovation inputs affect the country's performance level, but not all show a statistically significant impact on innovation outputs. Institutions and infrastructure indexes do not affect the innovative performance of the economies. The main determinants of innovation performance worldwide are business sophistication, human capital & research (HC&R) and market sophistication. In short, the research presents an original contribution, mainly because it explores different views on NIS disparities worldwide, using complementary methodological strategies and based on comprehensive data on innovative inputs and outputs in the countries.

The findings add new evidence-based knowledge on the determinants of innovation performance in different realities, such as political, economic and administrative. These realities formulate innovation policies and implement them worldwide.

The objective of this study is to propose a model for the implementation of a technological platform for participants to develop solutions to problems related to the Fourth Industrial Revolution (4IR) megatrends, and taking advantage of artificial intelligence (AI) to develop their complex thinking through co-creation work.

The development of the model is based on a combination of participatory action research and user-centered design (UCD) methodologies, seeking to ensure that the platform is user-oriented and based on the experiences of the authors. The model itself is structured around the active and transformational learning (ATL) framework.

This study highlights the importance of addressing 4IR megatrends in education to prepare students for a technology-driven world. The proposed model, based on ATL and supported by AI, integrates essential competencies for tackling challenges and generating innovative solutions. The integration of AI into the platform fosters personalized learning, collaboration and reflection and enhances creativity by offering new insights and tools, whereas UCD ensures alignment with user needs and expectations.

This research presents an innovative educational model that combines ATL with AI to foster complex thinking and co-creation of solutions to problems related to 4IR megatrends. Integrating ATL ensures engagement with real-world problems and critical thinking while AI provides personalized content, tutoring, data analysis and creative support. The collaborative platform encourages diverse perspectives and collective intelligence, benefiting other researchers to better conceive learner-centered platforms promoting 21st-century skills and co-creation.

Introduction: Today the ability of nations to develop and implement innovations is core for their international competitiveness. Ukraine is striving for innovation progress; however, its innovation performance is relatively low. The research problem is to find the bottlenecks, affecting Ukraine’s innovation capability.

Purpose: This study aims to research the national innovation capability profiles, based on cluster analysis, to develop an understanding of drivers and threats for the innovation capability of Ukraine.

Need of the study: The knowledge-based economy, which had already turned into one of the most efficient developmental models of the 21st century, became a key driver of international competitiveness for the leading developed countries due to their progressive structural shifts towards the growth of high-technology manufacturing and knowledge-intensive sectors. These trends are significant to capture for the sake of increasing the innovation capability of the economy of Ukraine.

Methodology: The study is based on the K-means clustering method, which is employed for identifying 10 country clusters based on the indicators of their R&D and innovation activities, which allowed us to assess the innovation capability of Ukraine in comparison with 140 countries of the world. Data selection and normalisation were based on the 2019 Global Competitiveness Report indicators.

Findings: The study showed that Ukraine’s innovation capability problems are typical for most developing countries and are prevalently connected to low R&D expenditures, patent applications, and international co-invention activities. Most countries, except for the technologically developed ones, follow the so-called ‘passive technological learning’ strategies, which usually result in low economic productivity.

Practical implications: Several innovation policy implications have been developed for the government of Ukraine based on the cluster analysis results and accounting for the problems of the national innovation system (NIS).