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The purpose of this paper is to explore the early implementation of a model of mathematics teacher development in Italian schools, inspired by Chinese lesson study (CLS), focusing on similarities and differences.

A research lesson study on fractions in the fourth grade was conducted. The approach was designed based on the theory of semiotic mediation (TSM) enriched by means of quaternary analysis and the variation pedagogy of CLS. In this study, qualitative methods were employed involving the collection of data including lesson plans, observations and post-lesson analyses.

The purpose of this study is to determine what works and what does not work in the Italian context. Answers to the following research questions are provided: How did LS incorporate quaternary analysis and variation pedagogy in the TSM? How and why were changes introduced in the structure of the lesson plan with respect to the CLS? How did members of the Italian Mathematics Teaching Research Group increase their knowledge of teaching methods and content?

The issues to be considered in further studies include the possible conflicts emerging between the cultures of teaching in China and Italy and the way to overcome them.

The main ideas of CLS are consistent with the general indications of the Italian Ministry of Education for the three-year program (2016-2019) of mandatory teacher development.

Reporting the findings of an Italian LS is aimed at exploring the differences and similarities among the different forms of LS, under the influence of cultural and institutional constraints.

The aim of this study is to explore the link between green manufacturing practices, operational competitiveness, firm reputation and sustainable performance dimensions as well as advance a mediation approach.

The study resorted to structured questionnaire to collect data from 158 manufacturing firms from different industries, and partial least square–structural equation modelling is used to test all hypothesized relationships.

The results indicate that green manufacturing has a positive significant impact on social, economic and environmental performance. However, firm reputation and operational competitiveness were found not to significantly influence economic performance. The mediation analysis also showed that operational competitiveness, firm reputation and environmental performance play no mediation role between green manufacturing and economic performance. Furthermore, social performance is found to mediate the relationship between green manufacturing and economic performance.

The study did not consider any moderator variables. Also, the universal applicability and generalizability are somewhat a problem since data was mainly collected from Ghana, an emerging country.

The results provide managers with reasonable evidence to proactively implement and invest in green manufacturing practices because such practices will not only have a positive impact on their sustainable performance dimensions but further enhance operational competitiveness and provide firms with superior reputation.

The study provides significant findings that contribute to and expand the literature on green manufacturing, and it is among the relatively few studies that has investigated the link between green manufacturing, sustainable performance dimensions, firm reputation and operational competitiveness, especially from a mediation analysis perspective.

In the dynamic landscape of 2023, global challenges are amplified by escalating conflicts and the COVID-19 aftermath. Developing nations like Vietnam face a critical juncture, requiring diversified economies for enhanced livelihoods and poverty reduction. However, this growth necessitates increased energy consumption, potentially escalating carbon emissions. Green innovation (GI) emerges as a beacon of hope, offering products and services designed for a minimal carbon footprint. Beyond socio-economic advancement, GI aligns with sustainable development goals. This study aims to  examine the influence of knowledge management (KM) and digitalization (DG) on GI, particularly in sustainable competitive advantage.

Using structural equation modeling and drawing upon a survey administered to 301 Vietnamese enterprises.

The findings illuminate diverse underpinnings between green product and process innovation, unravel the intricate relationship between KM, DG and GI, and provide crucial insights for firms seeking sustainable competitive edges.

This multidimensional approach significantly enriches the understanding of these pivotal elements in contemporary business landscapes.

This paper investigates the combined effect of internal environmental management (IEM) and green human resource management (GHRM) on corporate reputation (CR), environmental performance (EP) and financial performance (FP). The paper further explores the indirect effects of CR and EP between the direct paths.

Data are garnered from 164 firms from three industries in Ghana. Partial least square structural equation modeling (PLS-SEM) is the methodological technique used to test the hypothesized relationships.

The result demonstrates that unlike IEM which has a significant effect on FP when implemented in isolation, GHRM does not have a significant effect on FP. However, the joint implementation of IEM and GHRM can provide better results in terms of improved CR, enhanced EP and significant FP improvement. CR and EP were further found to mediate the relationship between the direct paths.

The results suggest that the joint implementation of IEM and GHRM is critical for firms that seek to enjoy superior reputation, enhance their environmental sustainability and achieve financial gains. Consequently, managers are strongly encouraged to create a sustainable and vibrant company via significant and rational investment in green initiatives like IEM and GHRM.

This study happens to be one of the first to develop a research model that investigates the joint effect of IEM and GHRM within the context of CR, environmental sustainability and FP.

The purpose of this study is to address a significant gap in the understanding of entrepreneurship at the microfoundation level. It focuses on how individual entrepreneurs, specifically Hongbang entrepreneurs in China from 1896 to 1949, shape and transform their contexts. The aim is to provide a deeper understanding of the mechanisms that facilitate entrepreneurial success.

The study adopts a microhistorical approach, investigating the case of Hongbang entrepreneurs in China during 1896-1949. It involves an in-depth examination of historical records to explore the strategic interactions between these entrepreneurs and core stakeholders such as consumers, financial intermediaries, government regulators, and human resources. The research methodology emphasizes a process-oriented view, examining the evolution of personalized networks into extensive connections.

The research reveals that Hongbang entrepreneurs successfully reshaped their unfavorable embedded contexts by strategically collaborating with key stakeholders. They influenced consumer tastes, allied with financial intermediaries, negotiated with governments on regulation policies, and developed human resource stocks. The transformation was facilitated by the evolution of their networks from personalized to extensive connections. These findings highlight the localized strategies such as cronyism in resource acquisition within China’s private property development industry.

This study contributes to the field by offering insights into entrepreneurial contextualization and networking. It sheds light on the complex interplay between entrepreneurs and their contexts, providing a nuanced understanding of localized strategies in the Chinese context. The findings add value to the discourse on entrepreneurship by elucidating the strategic and processual acts through which entrepreneurs engage with stakeholders and reshape their environments.

The main purpose of this study is to investigate the role of Industry 4.0 capability (I4.0 C) in creating a supportive environment for business model innovation by focussing on the mediating role of knowledge management capability (KMC) and the moderating effect of market uncertainty.

This paper uses interviews with managers and academics. Data were collected from 379 managers; CFA and finally regression analysis were performed, and the program “PROCESS” software was used to validate the data and examine the hypothesized relationships.

KMC mediates the relationship between Industry 4.0 capability and business model innovation. The effect of Industry 4.0 capability on KMC is stronger for firms with increased market uncertainty. In contrast, the impact of KMC on business model innovation is weaker for firms operating in highly-uncertain markets.

Data were collected at only one point in time from one country, Greece. This might pose limitations on the generalizability of our results. Future research should test the relationships examined in this study in other international contexts.

Managers should invest in more advanced technology in order to obtain knowledge and capability. In addition, they need to pay more attention to how their firms' knowledge derived from Industry 4.0 contributes to business model innovation.

The current state of knowledge of both theory and practise for critical organizational factors such as Industry 4.0 capability, KMC, business model innovation and market uncertainty will be extended.

This study aims to investigate the impact of green shared vision (GSV) and green knowledge sharing (GKS) on eco-innovation types and further investigates the impact of these types on sustainable competitive advantage (SCA) and sustainable business performance (SBP) within the food manufacturing and food processing small- and medium-sized enterprises (SMEs) of a developing country.

Partial least square structural equation modeling technique was used to test the hypotheses. Simple random sampling was used, and data were collected from 312 owners/managers of food manufacturing and processing SMEs.

The results reveal a significant positive relationship between GSV, GKS and eco-innovation types. Furthermore, it was revealed that all three types of eco-innovation are significantly related to SCA and SBP.

The results of this research will assist food manufacturing and food processing SMEs in reducing their eco-footprint to gain SCA and SBP. Furthermore, policymakers and governing bodies may implement strong regulations to curtail eco-pollution.

To the best of the authors' knowledge, this is the first study that incorporates the concept of eco-innovation in food processing and food manufacturing SMEs of a developing country in the light of the natural resource orchestration theory.

This paper evaluates the effect of corporate social responsibility (CSR) on the performance of rural banks, as well as the moderating influence of effective governance on the surmised nexus.

Annual data for 122 Ghanaian rural banks from ARB Apex Bank, World Development Indicator (WDI) and World Governance Indicator (WGI) for the period 2014–2020 were compiled for analysis. A two-stage system generalized method of moments (GMM) estimator was used in examining the relationships under study.

The findings suggest that CSR has a significant negative effect on return on assets (ROA), return on equity (ROE) and stability (Z-score). On the other hand, further results showed that CSR positively influences net interest margin (NIM). Again, the results suggest that government effectiveness exerts a positive moderating influence on the effect of CSR on performance from all four measurement criteria (ROA, ROE, NIM and Z-score) in the Ghanaian rural banking sector.

The study focuses on the rural banking sector in the Ghanaian economy, compared to related studies that examine the subject matter for commercial banks. The moderating influence of governance structures is also assessed on the relationships to guide policy on rural banking.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0116.

The purpose of this study is to solve the problem that existing researches ignore the long-term and staged nature of digital transformation, failing to conduct specific discussions for different stages. It responded the call by constructing a three-stage evolutionary model to analyze the impact of digital transformation at different stages on the sustainable performance of manufacturing enterprises. The moderating effect of core technology capabilities is also explored, guided by the theory of assimilation innovation.

Based on the panel data of Chinese listed manufacturing companies from 2012 to 2020, this study empirically investigate the impact of digital transformation (digital process, digital operation and digital ecology) on sustainability performance (economic performance and environmental performance).

The findings indicate that digital operations and digital ecology significantly improve economic performance and environmental performance. Furthermore, the core technological capacity of the enterprise serves to modify the positive correlation between digital transformation at each stage and sustainable performance to some extent. In other words, when an enterprise is equipped with the requisite technological capacity, the digital transformation at each stage accelerates both economic performance and environmental performance, which in turn is conducive to an improvement in the enterprise’s sustainable development performance.

The findings contribute to the theoretical framework of digital transformation and sustainable development in all stages of enterprises. Furthermore, they provide guidance for achieving sustainable development through the implementation of digital transformation and the enhancement of core technological capacity.

In developing countries, construction organizations are seeking to effectively implement green innovation strategies. Thus, this study aims to assess the importance of green innovation practices and develop a measurement model for quantifying the green innovation degrees of construction firms.

A mixed-methods research approach is adopted. First, an extensive literature review is performed to identify potential green innovation items, which are then used to design a preliminary questionnaire. Next, expert interviews are conducted to pilot-test this questionnaire. Subsequently, by using a convenience non-probability sampling method, 88 valid responses are collected from construction firms in Vietnam. Then, one-sample and independent-samples t tests are employed to assess the importance of green innovation practices. Fuzzy synthetic evaluation (FSE) is also applied to quantitatively compare such practices. Finally, green innovation level (GIL) is proposed to measure the green innovation indexes and validated by a case study of seven construction firms.

This study identifies 13 green innovation variables, of which several key practices are highlighted for small/medium and large construction firms. The results of FSE analysis indicate that green process innovation is the most vital green category in construction firms, followed by green product and management innovations, respectively. As a quantitative measure, GIL could allow construction firms to frequently evaluate their green innovation indexes, thereby promoting green innovation practices comprehensively. Hence, construction firms would significantly enhance green competitive advantages and increasingly contribute to green and sustainable construction developments.

This research is one of the first attempts to integrate various green innovation practices into a comprehensive formulation. The established indexes offer detailed green innovation evaluations, which could be considered as valuable references for construction practitioners. Furthermore, a reliable and practical tool (i.e. GIL) is proposed to measure the GILs of construction firms in developing countries.