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This study aims to propose a conceptual framework to examine the impact of corporate social responsibility (CSR) and green organizational culture (GOC) on green innovation with the moderating role of environmental, social and governance (ESG) disclosure in the Malaysian manufacturing industry.

The study is based on primary data to be collected from 204 manufacturing enterprises of consumers, products and services sector through a questionnaire that incorporates the five-point Likert scale. The exploratory factor analysis is proposed to be performed using SPSS 24.0 and confirmatory factor analysis is suggested to be conducted using AMOS.21 software to explore the factors and reliability of the items and to confirm the factorial structure of pertinent variables, respectively. Furthermore, partial least square structural equation modeling is proposed to investigate relationships between constructs and latent variables.

The proposed framework suggests that the comprehensive adoption of CSR and GOC with the moderating role of ESG disclosure has a significant and positive impact on green innovation.

This study provides insights into formulating strategies for enhancing green innovation and serves as a valuable resource for stakeholders for sustainable development in manufacturing enterprises.

To the best of the authors’ knowledge, regarding originality, this is the first attempt at conceptualizing the integrated framework of CSR, GOC, green innovation and ESG disclosure for collective examination that is likely to extend the existing literature. Furthermore, this study extends stakeholders and resource-based view theory by proving their utility in the perspective of CSR, GOC, green innovation and ESG disclosure to achieve environmental sustainability.

This paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.

The study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.

The use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.

Integrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.

Bank failures are critical events that have far-reaching implications for the financial system and various stakeholders. This study aims to focus on analyzing the phenomenon of small bank failures in the USA.

This study adopts the coarsened exact matching (CEM) technique to enhance the reliability of the analysis. By matching similar observed characteristics, the CEM approach helps to address potential selectivity bias and facilitates a more accurate estimation of the treatment effect. This study uses a data set covering the period from 2000 through 2019 and includes 523 failed bank observations and 43,605 nonfailed bank observations.

The results reveal several key findings. Small banks, especially those with lower yields on earning assets, those with lower charge-offs on loans and leases, those with higher core capital ratios and those with higher Fed Funds rates are found to be more susceptible to failure.

Some results align with initial predictions, whereas others present contrasting outcomes.

This study underscores the significance of understanding the factors contributing to bank failure and emphasizes the importance of studying small bank failures in particular.

This study uses the CEM method. CEM is a comprehensive approach that combines matching, sample trimming and reweighting techniques. When applying CEM, researchers carefully select a set of core variables to achieve balance between the treated and control groups. The CEM process involves discretizing each continuous variable into distinct bins or categories, a process known as “coarsening.” It then requires an exact match among these binned variables between the treated and control units, which constitutes the matching step in CEM.

Digitalisation is perceived as a new process that may add value to firms. Current theoretical understanding assumes it should be part of a firm's strategy to respond to multiple pressures in the business environment. This paper explores the occurrence of digitalisation in a rare context, that of the English agricultural industry in the United Kingdom, a place disproportionality filled with family firms. The general understanding of digitalisation in family firm settings remains embryonic. The authors' explorations make theoretical contributions to research at the intersection of rural entrepreneurship, family business and innovation.

Utilising a purposive, qualitative approach, primary data was collected from multiple interviews with 28 UK family farms, and secondary data from another 164. Interview transcripts were coded using NVivo, along with secondary data from reports, observations and websites.

The authors present empirical evidence illustrating how digitalisation manifests incrementally and radically in different types of family farms. The authors present a model that shows the areas of farming that have, and continue to be, digitalised. This increases analytical precision when identifying digitalisation activities that differ depending on the strategy to either scale or diversify. The authors propose that incremental digitalising occurs to a great extent during a scaling strategy, and that radical digitalising occurs to a smaller extent during diversification strategies in family farms.

This research uses a sample of family-run farms from the UK agricultural sector to explore nuanced elements of digitalisation. It should therefore be explored in other types of family firms located in different sectors and geographies.

This research is important because family farms are under increasing pressure and have limited financial resources to deal with the digitalisation agenda. Therefore, empirical evidence helps other farms in similar situations. The authors found digitalisation investments, that tend to be capital intensive, only matter for scalers and less so for diversifiers. Family farms can use the model presented as a tool to evaluate their farm. The tool helps them define what to do, and ideate the potential activities that might be digitalised, to feed into their wider strategy.

Family firms, in particular farms, are critical to many economies. The general consenses currently assumes all family firms should digitalise, yet the authors' evidence suggests that this is not the case. It is important to create policies that are sensitive to the needs of different types of businesses, in this case between family firm scalers and diversifiers, instead of simply incentivising digitalisation using a blanket approach usually by offering financial aid. Understanding how digitisation can support (or not) family firm resilience and growth in an effective and efficient manner can have significant benefit to individual firms, and across industries.

The proposed model extends theoretical understanding linking strategy, digitalisation activity and innovation in family farms. It shows that digitalisation is a key building block of scaling strategies, maximising digitalisation to increase efficiency. Yet, diversifying family farms minimise digitalisation, whereby they only digitalise a small amount of the farming activity. This empirical evidence contrasts with the wider narrative that farmers are slower at using new technology. This research found that some are slower because it does not align with their strategy. However, sometimes digitalisation aligns with their strategy during external changes, in which case the diversifiers are quick to act.

The global recession caused by the COVID-19 pandemic has led to the closure of thousands of village-owned enterprises (VOEs), which are community-managed enterprises that operate in the hostile rural areas in emerging economies. Thus, considering that a Schumpeterian view of economic downturn sees recessions as times where old products/services decline while new products/services emerge, this paper aims to explore the specific innovation-based diversification strategies that matter for the survival of emerging economy VOEs in recession periods to develop new theoretical insights.

The study is based on multiple-case studies of 13 leading VOEs operating in the rural areas of Java Island in Indonesia, an emerging economy. The data was analysed using within-case and cross-case analyses.

Overall, a number of major novel findings have emerged from the analysis, based on which the authors developed several new propositions. First, from the perspectives of both new product and new service diversification, “unrelated diversification” is the primary resilience strategy that seems to be associated with the survival of VOEs in the COVID-19 recession, over and above “related diversification”. Second, from an industrial sector diversification perspective, the most dominant resilient strategy for surviving the recession is “unrelated diversification into tertiary sectors (service sector)”, over and above diversification into the primary sector (agriculture, fisheries and mining) and secondary sector (manufacturing and construction).

The authors contribute to the literature on entrepreneurship in emerging economies by identifying the resilience diversification strategies that matter for the survival of VOEs in recession.

The purpose of this study is to provide a literature review of the past literature on the use of blockchain for attaining sustainability in start-ups, covering major characteristics of current findings, limitations and prospective study possibilities.

Papers that included the term “Blockchain,” “Sustainability” and “Start-ups” were considered for the analysis. Biblioshiny package under the R programming tool was considered for a detailed paper analysis.

Numerous sectors are quickly adopting blockchain technology, which has enormous potential to remove middlemen and boost sustainability in start-ups.

This research is limited to 147 papers from the Scopus database through 2022.

This paper stresses the crucial part that blockchain technology has played in igniting a conversation about innovation and technology. This research will aid in advancing the researcher’s knowledge of blockchain technology in start-ups.

Blockchain technology will give transparency and sustainable product or services to consumers of the start-ups.

The novelty of this research is based on its presentation of an organized and thorough literature evaluation, which defines the current state of the art concerning the use of blockchain for sustainability in start-ups. To create a sustainable start-up, a thorough study of how the information gained in respect of its implementation might be spread into the start-ups is presented.

While the COVID-19 pandemic has impacted the construction industry, it is still unclear from prior studies about adequately positioning the quality assurance (QA) for the post-pandemic era and future pandemics, especially cross-border construction logistics and supply chain (Cb-CLSC). Thus, this study aims to develop a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully.

This is achieved pragmatically through an embedded mixed-method design involving a literature review, survey and interview from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory. The design is further integrated with the partial least squares structural equation modelling (PLS-SEM) approach.

The study revealed 10 critical managerial practices (MPs) to position the QA to be adequate for the post-pandemic and during future pandemics, with the top three including “strict observance of government regulations (MP1)”, “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)” and “modification of contract to cater for uncertainties (MP4)”. This attained a relatively good percentage agreement of 53% between the industry and academia. However, the top four MPs regarded as very effective include “implementing digital collaborative inspections with subcontractors and trades (MP8)”, “implementing a digital centralized document and issue management system (MP7)”, “strict observance to government regulations, including vaccination of workers, social distancing, use of prescribed nose masks, etc. (MP1)” and “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)”. Two underlying components of the MPs were revealed as policy-process (PP)-related practices and people-technology-process (PTP)-related practices, and these can be modelled into a managerial framework capable of effectively positioning the QA to be adequate during pandemics through to the post-pandemic era.

The findings of this study depicted significant theoretical and practical contributions to the proactive management of QA activities during pandemics through to the post-pandemic era. It could empower organisations to pay attention to smartly and innovatively balancing people, processes, pandemic policy and technology to inform decisions to effectively position the QA for the post-pandemic era and survive the risks of future pandemics.

The study contributes to the body of knowledge in that it develops a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully. It is original research with invaluable primary data in the form of surveys and interviews from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory.

Optimal application and commitment toward financial management practices enhance organization performance. This study aims to assess the influence of financial management practices on organizational performance of small- and medium-scale enterprises.

Data were collected from 45 small-sized and 72 medium-sized firms. Data supported the hypothesized relationships. Construct reliability and validity were established through confirmatory factor analysis. The conceptual model and hypotheses were evaluated by using structural equation modeling.

The results indicate that working capital significantly influenced organizational performance. Capital budget management significantly influenced organizational performance. A non-significant influence of asset management on organizational performance was observed.

The generalizability of the findings will be constrained due to the research’s SMEs focus and cross-sectional data.

The study’s findings will serve as valuable pointers for stakeholders and decision-makers of SMEs in the development of well-articulated and proactive financial management systems to ensure competitiveness, sustainability, viability and financial competences.

The study adds to the corpus of literature by evidencing empirically that financial management practices significantly influenced SMEs’ performance.

The purpose of this paper is to examine the antecedents of organizational ambidexterity of foreign ventures in an emerging market. Organizational ambidexterity, the simultaneous pursuit of exploration and exploitation, represents a key innovation strategy. Yet, the driving factors of such innovation strategies for foreign ventures competing in emerging markets have been underresearched. In this study, unpacking the construct of organizational ambidexterity into two dimensions (i.e. the combined dimension [CD] and the balance dimension [BD]), the authors aim to investigate how firm-level and industry-level factors drive foreign ventures in pursuing exploration and exploitation and maximizing the benefits of both.

This study adopts the hierarchical multiple regression approach using a sample of foreign ventures operating in high-tech manufacturing industries in China.

The authors find that the firm-level factor of strategic flexibility leads positively to the CD of organizational ambidexterity, whereas the industry-level factor of technological turbulence has a significantly positive impact on the BD.

This study provides important insights into the driving factors of organizational ambidexterity for foreign ventures competing in emerging markets.

This research aims at the theory of planned behavior (TPB) and the global entrepreneurship monitor (GEM) framework – How can cognitive traits for entrepreneurship be used by incubators and accelerators?

In this research the authors analyze the factors that catalyze the founding of new technology-based firms. From a practitioner stand-point, the GEM posits that these factors can be classified as contextual, social and individual factors. The present study focuses on the latter, looking into how demographic characteristics, possession of human capital and cognitive traits interrelate. The authors rely on a sample of 141 technological new ventures being incubated in Madrid, Spain, which is analyzed with the multilayer perceptron technique.

The results show that cognitive traits, as defined in the TPB, act as the “last mile” in the entrepreneurial decision process, while demographic and human capital factors appear to antecede them. These results are relevant for incubators and accelerators, which now gain a better, more complete understanding of success factors of their incubatees.

This research deals both with practitioners' view of entrepreneurship and with scientific literature, intertwining both with the purpose of providing valuable information for incubators and accelerators.