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Although it is a well-known notion that “a family firm does not survive beyond the third generation”, owing to the ineffective tacit knowledge transfer, studies investigating the relationship between generational evolution and knowledge innovation is scarce. Thus, this case study revolving Sin Kwang Plastic Resources Berhad (SKP) seeks to address this gap in literature.

To assess the development of family business, a longitudinal case study was performed by documenting the entire evolutionary process starting from its establishment until now. The historical profiles for SKP were obtained from the previous annual reports submitted to the government's Companies Commission (SSM). Secondary materials from the Federation of Malaysian Manufacturers (FMM) and the edge newspaper and articles on the company were also gathered. Throughout the in-depth interviews, the author can see how the next generation of this family firm innovates and implements tacit knowledge innovation in original equipment manufacturing (OEM) by adhering to the Japanese industrial standards.

Findings show that the second generation utilized the company's extensive knowledge in plastic contract manufacturing in SKP for tacit knowledge conversion, triggers the birth of STS Tecnic Berhad, a subsidiary company that manufactures plastic parts for the industrial packaging and automotive industry. To simplify the process of managing the complex business, SKP opted to “prune the family tree” by dividing the business, involving fewer managers and restricting the number of family shareholders.

This case study traces how Gan's family's tacit knowledge in plastic contract manufacturing have been acquired from the experience of contract manufacturing with the Japanese multinational corporations (MNCs) by further commercializing the tacit knowledge into different companies for different plants. SKP promotes tacit knowledge innovation in the learning organization, thus responding to the firm's sustainability.

This study demonstrates that knowledge transformation plays vital roles in product development and gaining competitive advantage. The success of this business is founded by the building of shared values, norms and technical understanding in plastic contract manufacturing among the Japanese MNCs in Malaysia.

This study aims to explore the micro-foundations of knowledge-based dynamic capabilities (KBDCs) in social purpose organizations (SPOs). The KBDCs facilitate SPOs to successfully manage the acquisition, creation and combination of knowledge to sustain their pursuit of socioeconomic value creation by effectively recognizing and addressing opportunities.

This study adopts a multiple-case study research design based on the semi-structured interviews of the founders and top managers of case SPOs. The semi-structured interviews were then compared with the theoretical framework of KBDCs following an abductive research approach.

This study identifies that certain capabilities are required to recognize and leverage the opportunities by SPOs. The authors found ten micro-foundations of KBDCs that sustain successful operationalization and overall development in SPOs. By using an abductive reasoning approach, the authors noted that certain KBDCs are essentially required for the operationalization and overall development of SPOs.

The authors conducted “semi-structured interviews” of founders and top managers that are retrospective in nature. From the implication viewpoint, this study provides insights for practitioners and researchers as it deepens the comprehension and contribution of knowledge and knowledge-related activities and procedures in SPOs.

KBDCs and their specific micro-foundations can help social entrepreneurs to delineate their idea, strategic processes and actions to achieve effective operationalization and overall sustainable development.

This study improves the understanding of Teece et al. (1997) theoretical construct of dynamic capabilities (DCs) and extends the framework of Zheng et al. (2011) simultaneously by exploring KBDCs that develop in the context of SPOs. The authors used an abductive reasoning approach that is vital for exploring dynamic capabilities; consequently, this study contributes to the approach of DCs and proffers a methodological advancement that can facilitate future research in this direction.

This chapter offers novel insights into how global corporations can innovate to tackle the global waste crisis and gain sustainable competitive positions. Using two of the most prominent types of global waste crises – food and plastic wastes – we discuss the dilemma of food and plastic waste, why innovations in global firms are needed to address them, and argue that a different perspective among those firms is needed, one which conceptualizes the development, dissemination and use of innovations in waste management, and one which recognizes that innovations, thus, created contribute to advancing the creation of economic, environmental and social value. We conclude using an overarching conceptual framework that depicts the complexity of the new perspective.

This paper aims to investigate the link between internal capabilities, innovation strategies and export performance (EP), considering the corporate social responsibility (CSR) principle as a moderator.

The statistical population of the current study is the food and agricultural products exporting small- and medium-sized enterprises (SME) which participated in the 27th International Agrofood Exhibition (2021) in Tehran, Iran. A sample of 296 managers was selected, using systematic random sampling, to answer the questionnaire. To analyze the data, we used structural equation modeling (SEM) and Hayes PROCESS in SPSS.

Results show that just manufacturing capabilities affect both exploratory and exploitative innovation, in contrast to marketing capabilities that does not have any significant impact on these two innovation strategies. Moreover, the impact of both explorative and exploratory innovation on EP is supported in the context of food and agricultural SMEs. However, CSR positively moderates the impact of exploratory innovation on EP, showing it has a negative effect on the impact of exploitative innovation on EP.

By addressing the research gap on the link between internal capabilities, innovation strategies, EP and CSR among SMEs, the current research provides valuable body of research that later studies in the literature can leverage or build upon.

While previous research has demonstrated the positive effects of digital business strategies on operational efficiency, financial performance and value creation, little is known about how such strategies influence innovation performance. To address the gap, this paper aims to investigate the impact of a firm’s digital business strategy on its innovation performance.

Drawing on the dynamic capability view, this study examines the mechanism through which a digital business strategy affects innovation performance. Data were collected from 215 firms in China and analyzed using multiple regression and structural equation modeling.

The empirical analysis reveals that a firm’s digital business strategy has positive impacts on both product and process innovation performance. These impacts are partially mediated by knowledge-based dynamic capability. Additionally, a firm’s digital business strategy interacts positively with its entrepreneurial orientation in facilitating knowledge-based dynamic capability. Moreover, market turbulence enhances the strength of this interaction effect. Therefore, entrepreneurial-oriented firms operating in turbulent markets can benefit more from digital business strategies to enhance their knowledge-based dynamic capabilities and consequently improve their innovation performance.

This study contributes to the understanding of how a firm’s digital business strategy interacts with entrepreneurial orientation in turbulent markets to shape knowledge-based dynamic capability, which in turn enhances the firm’s innovation performance.

This study attempts to explore the linkages between reliable big and cloud data analytics capabilities (RB&CDACs) and the comparative advantage (CA) that applies in the manufacturing sector in the countries located in North Africa (NA). These are considered developing countries through generating green product innovation (GPI) and using green process innovations (GPrLs) in their processes and functions as mediating factors, as well as the moderating role of data-driven competitive sustainability (DDCS).

To achieve the aim of this study, 346 useable surveys out of 1,601 were analyzed, and valid responses were retrieved for analysis, representing a 21.6% response rate by applying the quantitative methodology for collecting primary data. Convergent validity and discriminant validity tests were applied to structural equation modeling (SEM) in the CB-covariance-based structural equation modeling (SEM) program, and the data reliability was confirmed. Additionally, a multivariate analysis technique was used via CB-SEM, as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model. Further, a bootstrapping technique was used to analyze the data. We included GPI and GPrI as mediating factors, while using DDCS as a moderated factor.

The empirical findings indicated that the proposed moderated-mediation model was accepted due to the relationships between the constructs being statistically significant. Further, the findings showed that there is a significant positive effect in the relationship between reliable BCDA capabilities and CAs as well as a mediating effect of GPI and GPrI, which is supported by the proposed formulated hypothesis. Additionally, the findings confirmed that there is a moderating effect represented by data-driven competitive advantage suitability between GPI, GPrI and CA.

One of the main limitations of this study is that an applied cross-sectional study provides a snapshot at a given moment in time. Furthermore, it used only one type of methodological approach (i.e. quantitative) rather than using mixed methods to reach more accurate data.

This study developed a theoretical model that is obtained from reliable BCDA capabilities, CA, DDCS, green innovation and GPrI. Thus, this piece of work bridges the existing research gap in the literature by testing the moderated-mediation model with a focus on the manufacturing sector that benefits from big data analytics capabilities to improve levels of GPI and competitive advantage. Finally, this study is considered a road map and gaudiness for the importance of applying these factors, which offers new valuable information and findings for managers, practitioners and decision-makers in the manufacturing sector in the NA region.

This study aims to develop a research agenda for the advancement of theory application in practical contexts by presenting a case study of the Engagement in Plastic-free Innovation for Change (EPIC) programme delivered by Plastic Oceans Australasia (POA).

EPIC is a behaviour change programme by POA that aims to reduce single-use plastic (SUP) consumption in workplaces. The study evaluates the programme’s impact on employee perceptions and actual behaviour through pre- and post-programme data collection in two Australian workplaces. Data was gathered via online surveys and waste audits and analysed using SPSS statistics and Excel.

The case study highlights the need for theory application in programme evaluation instruments. Theory was not used in the programme evaluation tool, and theory could not be mapped onto the tool retroactively. The data from the present study showed mixed results. Data from Workplaces 1 and 2 indicated that EPIC successfully improved three out of seven employee perceptions of SUP reduction efforts. However, individual workplace data showed that EPIC only improved one out of seven perceptions in Workplace 1 and three out of seven perceptions in Workplace 2. Surprisingly, Workplace 1 observed a decrease in plastic waste after the programme, while Workplace 2 saw an increase. Without the clear integration of theory, it is difficult to pinpoint areas for improvement. It is, however, posited that COVID-19 restrictions on people attending their workplaces and low survey response rates may have contributed to these unexpected results.

The present study highlights key improvements that can be made to evaluations of voluntary behaviour change programmes. Careful evaluation of behaviour change programmes is key to improving programme effectiveness. Practitioners will find the suggested improvements from this study helpful in developing and refining voluntary behaviour change programme evaluations.

This is one of the first studies to evaluate the impacts of a voluntary behaviour change programme aimed at reducing SUPs in the workplace. It also adds to the limited literature on voluntary behaviour change interventions overall and adds to the movement towards better application of theory in behaviour change interventions.

This study aims to explore how manufacturing firms master customer lock-in through value creation by servitization innovation strategies from the perspective of asset specificity.

A multiple case study with triangulation fashion is adopted to identify servitization innovation strategies. Several manufacturing firms were investigated, which are distributed in different positions of the value chain. Content analysis and abductive approaches are adopted to analyze the data. Moreover, an in-depth interview and participatory observation were conducted to refine the analysis results.

This study identified four different focusing points of servitization operations. Based on these, the paper further induces an innovative servitization strategy matrix of customer lock-in, concerning communion, intellectual, existential and insubstantial strategies. Furthermore, a conceptual model of customer lock-in by servitization innovation from the perspective of asset specificity is elaborated. It is suggested that companies can use tangible or intangible resources by sharing or storing operations to create servitization value.

This study theoretically proposes a conceptual model to extend servitization innovation as an intangible asset and adopt the new perspective of asset specificity to illustrate the value creation in servitization to generate customer lock-in.

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.

To meet their ambitious targets for a circular economy, multinationals need to speed up their innovation efforts. This requires experimentation capability. But it is not clear what this capability entails, and how companies can build it. The purpose of this paper is to give companies guidance on how they might develop experimentation capability for the circular economy.

We conduct in-depth interviews with innovators in frontrunner multinationals, H&M, IKEA and Philips. We use the Gioia method to analyse our data.

This article identifies novel institutional, strategic, and operational actions that build experimentation capability for a circular economy.

The identified actions help innovation managers experiment and speed up their innovation efforts for a circular economy.

To reverse environmental degradation, multinationals need to transform their dominant linear take-make-waste business models. This research provides actions that help them organize this transformation.

This article is based on extensive research with leading multinationals and reveals novel insights on how to innovate for a circular economy.