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This study examined the direct and moderating relationships between operational management capabilities, specifically process efficiency capability, process integration capability, operational flexibility and procurement performance among manufacturing firms in Ghana. The study adopted a quantitative cross-sectional survey design. A total of three hundred and fifty (350) procurement officials from fifty (50) manufacturing firms were selected for the study. Stratified and purposive sampling techniques were used in the selection of manufacturing firms and procurement officials, respectively. Questionnaires were used in the data collection, and data were analyzed using Partial Least Squares (PLS) Structural Equation Modelling (SEM). For direct effects, the study showed that a non-significant positive relationship exists between process integration capability and procurement performance. However, a significant positive relationship was found to exist between process efficiency capability and procurement performance. The study also found that operational flexibility does not moderate the relationship between process integration capability and procurement performance. Meanwhile, operational flexibility negatively moderates the relationship between process efficiency capability and procurement performance among manufacturing firms in Ghana. The results of the study highlight the importance of developing robust process efficiency capabilities for improved procurement outcomes, while also suggesting a careful balance in operational flexibility initiatives to avoid inefficiencies among manufacturing firms. The study contributes to the dynamic capabilities theory and provides practical implications for manufacturing firms seeking to optimize their procurement strategies.

Purpose In several studies, it has been found that organizational performance is affected by ambidextrous IT capabilities. Nevertheless, business processes are essential to the value generation conversion of IT investment into performance. In the literature, this focus on the impact of IT capabilities at the business process level is still under investigated. So, the purpose of this paper is to test the effects of explorative and exploitative business process IT capabilities on business process performances (BPP) and the positive moderator role of business process management (BPM) capabilities. Design/methodology/approach This analysis has been done through a quantitative study in the Italian hotel industry. An OLS regression analysis has been carried out on a sample of 404 firms. Findings The study identifies distinct effects related to exploration and exploitation and finds a moderating effect of BPM capabilities, explaining their positive impact on BPP. Originality/value The main purpose of the paper is to contribute to the area of business process management by demonstrating the importance of both explorative and exploitative IT capabilities for a business process as well as the managerial capabilities at the process level. Furthermore, this focus at the process level allows us to add original insights into research on ambidexterity by expanding existing works.

Collaborating with a partner in a distant area is widely endorsed in practice as a means for inspiring novel innovations. However, empirical evidence also reports significant innovation efficiency challenges when working with distant partners due to differences in technical knowledge domain differences. In this study, we conducted a multi-method approach by using a case study of 30 interviews to develop three information technology (IT)-enabled inter-firm knowledge capabilities and testing the research model with field survey data from 258 firms. The findings of this research confirm our hypotheses that IT-enabled inter-firm knowledge exploration capability and IT-enabled inter-firm knowledge exploitation capability can help embrace the benefits of product effectiveness while IT-enabled social integration capability surmount process efficiency challenges inherent in collaboration with distant partners. This study adds a much-needed perspective to the IT and innovation literature and offers practical suggestions for firm managers to mindfully design and deploy IT resources in collaborative innovation projects.

PurposeThe purpose of this study is to theorize and test the relationships among lean operations and lean supply chain practices, learning- and innovation-oriented lean cultures and dynamic capabilities (DCs) microfoundations. Further, this study aims to assess the association of DCs microfoundations with process innovation.Design/methodology/approach The researchers combine primary data collected from 153 manufacturing firms located in five continents using a survey designed for the purpose of this study with archival data downloaded from the Bureau Van Dijk Orbis database and test the hypothesized relationships using structural equation modelling.FindingsResults support the contribution of lean operations and lean supply chain practices to the development of DCs microfoundations, which further lead to greater process innovation. Additionally, while a learning-oriented lean culture positively moderates the relationships between both lean operations and lean supply chain practices and DCs microfoundations, an innovation-oriented lean culture only moderates the relationship between lean operations practices and DCs microfoundations.Practical implicationsThis study identifies DCs microfoundations as the key mechanisms for firms implementing lean practices to achieve greater levels of process innovation and the important role played by lean cultures. This study provides direction for managers to put in place DCs through lean implementations, enabling their firms to be ready to respond to challenges and opportunities generated by environmental changes.Originality/valueWhile previous research has confirmed the positive effects of lean practices on efficiency, the role of lean practices and cultures in developing capabilities for reacting to environmental dynamism has received little attention. This study offers an empirically supported framework that highlights the potential of lean to adapt processes in response to environmental dynamics, thereby extending the lean paradigm beyond the traditional focus on operational efficiency.

PurposeBuilding process innovation capability (PIC) is becoming increasingly important to keep pace with changing business environments and emerging technological opportunities. However, the literature on process innovation capability (PIC) is still very broad and does not consistently reflect today's reality that is becoming increasingly complicated and knowledge-intensive, leading to more organizational needs for supporting less-structured business processes (LSBP).Design/methodology/approachBased on a systematic literature review (SLR), the authors provide evidence for this under-investigated subject by consolidating organizational capabilities for managing PIC in LSBP. The authors screened 1,083 and identified only 26 peer-reviewed articles that simultaneously encompass process innovation and LSBP.FindingsThe authors explain which LSBP types are typically addressed, and in which sectors. The authors categorize research avenues, best practices and a framework that links PIC to performance outcomes by also considering business environments. Three theories (i.e. resource-based view, dynamic capabilities and sociotechnical theory) help to underpin the six empirically observed capabilities along three pillars (i.e. people, process and technology).Research limitations/implicationsBesides a research agenda, the authors offer a conceptual framework for PIC in LSBP as a reference to guide scholars and practitioners.Practical implicationsThe authors offer best practices, as derived from the literature.Originality/valueThis is the first SLR for PIC in LSBP, consolidating and categorizing the PIC-LSBP characteristics. Due to few studies on the subject, this work contributes to a deeper understanding of the PICs needed for LSBP to obtain the desired performance outcomes.

Industrial firms increasingly use advanced technologies to navigate market fluctuations, bolster demand, and enhance competitiveness. Six Sigma methodology presents a pathway for these firms to overcome challenges and pioneer new business strategies. This study utilizes the Define-Measure-Analyze-Improve-Control (DMAIC) method to minimize process variability in additive manufacturing (AM) for spur gears. The process commenced by defining customer requirements and collecting data on the gear 3D printing process. Subsequent steps involved analyzing data to identify root causes of defects, implementing improvement solutions, and establishing process controls for sustainability. The standard deviation reduced significantly by 90.55%, with the process capability index (Cp) improving by 87.15% and the process performance capability index (Cpk) by 92.98%. The application of DMAIC proves invaluable in defect reduction and ongoing performance enhancement within the 3D printing gear sector.

Purpose This study aims to investigate the effectiveness of integrated audit management and its impact on business sustainability for an emerging economy. Design/methodology/approach Drawing on the dynamic capability and contingency theory, the authors investigated the factors on integrated audit management implementation using a sample of 104 certified Malaysian manufacturing firms. The collected data has been analysed using the partial least squares through the structural equation modelling technique. Findings The findings have revealed that human resource capability, technological capability and quality capability have a robust influence on the importance of the internal audit process, which, in turn, leads to integrated audit management effectiveness towards the outcome of business sustainability. The results have also indicated the mediating effect of the internal audit process on the research model. Originality/value The contribution from the empirical findings will provide productive insights to help manufacturing firms devise an effective integrated internal audit management system to ensure business sustainability and increase competitiveness advantages for an emerging economy.

PurposeOrganizations invest in novel digital innovations to improve their business processes. These innovations, including Industry 4.0 technologies, enable full organizational integration with business process management (BPM), thereby requiring interorganizational relationship (IOR) capabilities. Many organizations lack knowledge about areas of interorganizational (IO) capability for integrating digital innovations into their value chains. They therefore have difficulty understanding that, as a socio-technical concept, digitalization surpasses the intraorganizational level and requires tools to develop mandatory IOR capabilities. The authors’ systematic literature review (SLR) explores these capabilities within the discipline of BPM. The purpose of this paper is to address this issue.Design/methodology/approachThis SLR follows the standard methodology for structuring a broad research field. The authors assessed capabilities relevant to manufacturing organizations from 58 academic articles published between 2011 and 2021.FindingsBuilding on existing firm-centric capability frameworks, the authors developed individual capabilities into a novel framework of digital interorganizational value chain (DIOVC). The authors’ conceptual model provides a basis for researchers and practitioners to consider capabilities and the theoretical spectrum of IO value chains.Research limitations/implicationsFuture studies should validate these DIOVC capabilities as input for an updated model of BPM maturity aimed at improving business process performance through digital innovations.Practical implicationsThis study provides organizations with IOR knowledge, supports decision makers in governing digital innovations and develops IO capabilities to improve their value chain performance.Originality/valueThe authors’ DIOVC capability framework is robust, with constructs and dimensions grounded in the literature, demonstrating theoretical and practical relevance.

Background: Despite significant technological advances, many logistics organizations in emerging markets struggle to realize the transformative potential of artificial intelligence, with reported success rates below 65% and limited theoretical understanding of the organizational capabilities. This study develops and proposes an integrated theoretical framework examining how knowledge process capabilities and dynamic capabilities interact to enable successful artificial intelligence adoption in logistics organizations within emerging market contexts. Methods: Through comprehensive literature review and theoretical synthesis, we propose a hybrid capability framework that integrates knowledge-based view perspectives with dynamic capabilities theory. Results: Theoretical analysis suggests that knowledge combination capabilities may be the strongest predictor of artificial intelligence implementation success, while dynamic reconfiguring capabilities could mediate the relationship between artificial intelligence adoption and performance outcomes. The proposed framework indicates that organizations with hybrid capability architecture may achieve superior implementation success compared to traditional approaches. Environmental uncertainty is theorized to strengthen the knowledge process capabilities—artificial intelligence adoption relationship. Conclusions: The framework suggests that successful artificial intelligence integration requires simultaneous development of knowledge-based and adaptive capabilities rather than sequential capability building. The hybrid capability framework provides theoretical guidance for managers in emerging markets, while highlighting the critical role of environmental context in shaping transformation strategies.

In this paper, we propose a model of national innovation production that formalizes the role of trade partnerships as a channel of knowledge spillovers across countries. The model is used to investigate the energy efficiency technological domain in the European Union (EU) using a panel database covering 19 EU countries for the time span 1990–2015. The model is estimated by using a novel empirical strategy which allows to assess the knowledge spillover effects benefiting a country depending on its relative position in the trade network, and correct for common endogeneity concerns. We show that being central in the trade network is a significant determinant of a country’s innovative performance, and that learning-by-exporting mechanisms are responsible for increased innovation performances. We further reveal that neglecting network effects may significantly reduce our understanding of domestic innovation patterns. Finally, we find that the benefits obtained from knowledge diffusion varies with the domestic absorptive capacity and policy mix composition. Our main implication is that policy design informed by network-based case studies could help maximizing the exploitation of positive knowledge spillovers.