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Two-phase R-744 ejectors are critical components enabling energy recovery in R-744 heat pump and refrigeration systems, but despite their simple geometry, the flow physics involve complex multiphase mixing phenomena that need to be well-quantified for component and overall system improvement. This study aims to report on multiphase mixture simulations for a specific two-phase R-744 ejector with supercritical inlet conditions at the motive inlet side.

Four different operating conditions, which have motive inlet pressure range of 90.1 bar–101.1 bar, are selected from an existing experimental data set. A two-phase thermodynamic equilibrium (TPTE) model is used, where the fluid properties are described by a thermodynamic look-up table.

The results show that the TPTE model overpredicts mass flow rates at the motive inlet, resulting in a relative error ranging from 15.6% to 21.7%. For the mass flow rate at the suction inlet, the relative errors are found less than 1.5% for three cases, while the last case has an error of 12.4%. The maximum deviation of the mass entrainment ratio is found to be 8.0% between the TPTE model and the experimental data. Ejector efficiency ranges from 25.4% to 28.0%. A higher pressure difference between the ejector outlet and the diverging nozzle exit provides greater pressure lift.

Based on the results, near future efforts will be to optimize estimation errors while enabling more detailed field analysis of pressure, density, temperature and enthalpy in the computational domain.

The authors have two main original contributions: 1) the presented thermodynamic look-up table is unique and provides unique computation for the real-scale ejector domain. It was created by the authors and has not been applied before as far as we know. 2) To the best of the authors’ knowledge, this study is the first study that applies the STAR-CCM+ multiphase mixture model for R-744 mixture phenomena in heat pumps and refrigeration systems.

Malaysian rice wines (tapai) manufactured in small-scale industries are usually formulated based on personal experiences under minimally controlled conditions for generations, especially in Sabah, one of the East Malaysian states. However, the quality and safety of rice wines were receiving increased attention to ensure better quality control, particularly those produced on an industrial scale. Therefore, this research aims to determine the fermentation dynamics and consumers’ acceptance of Malaysian rice wines produced using different sasad (a local term for starter culture from Sabah).

The physicochemical [total soluble solids (TSS), alcohol content, total titratable acidity (TTA) and pH] and microbiological [total yeast and mould count (TYMC) and total lactic acid bacteria (LAB) count] changes in Malaysian rice wines were determined to better understand the fermentation process for future process optimisation. Additionally, sensory evaluations were conducted to determine the consumers’ preferences for the rice wines.

The overall fermentation dynamics of rice wines exhibited similar trends with slight variations between the samples, demonstrating the effect of microbial compositions of sasad on the quality of final rice wines. Additionally, consumer acceptance tests showed that rice wines with darker shades of yellow and a stronger alcoholic aroma were preferable.

This is the first research that provides important insights into both the fermentation dynamics and consumers’ acceptance of Malaysian traditional rice wines, enriching the rice wine literature from the academic perspective and contributing to the production of safe and high-quality rice wines.

The purpose of this study is to investigate the influence of ambidextrous strategy on supply chain resilience and its impact on firm performance, employing the Dynamic Capabilities View.

Through a survey of 215 supply chain professionals, the research employs a structural equation modeling analysis to examine the relationships between ambidexterity, agile operations, resilience, and performance.

The findings demonstrate that the ambidextrous strategy significantly enhances both agile operations and supply chain resilience. In turn, agile operations and resilience positively impact firm performance. The study also reveals that agile operations and supply chain resilience partially mediate the relationship between ambidextrous strategy and firm performance.

This research contributes to the supply chain management literature by highlighting the importance of an ambidextrous approach in fostering agile operations and resilience, thereby improving firm performance. It extends the dynamic capabilities view framework by elucidating how ambidexterity acts as a pivotal mechanism for adapting to disruptions and securing competitive advantage in volatile markets. Finally, measurements of ambidextrous strategy and resilience are provided to further enhance practitioners’ understanding of building these important components in networks.

This study conducts a systematic literature review (SLR) on social inclusion within upstream supply chains, targeting a notable literature gap in modern SCM discourse. By delving into this critical, yet underexamined, domain, this study spotlights the pressing need to incorporate social inclusion practices, particularly as global supply chains face increased scrutiny over their social ramifications. It examines social inclusion’s intricacies, offering practical insights for industry professionals to adopt, so that trustworthy social inclusion practices can proliferate across their upstream supply chains, thereby making a substantial contribution to both theoretical understanding and practical application.

Employing five search queries across two leading academic databases, this investigation reviewed 86 articles that examined social issues related to social inclusion in the upstream supply chain. Via content analysis, this study aims to answer essential research questions and employs statistical bibliometric analyses to investigate the collected data further.

This study’s findings establish a definition of social inclusion within the upstream supply chain and present a conceptual framework delineating levers and indicators for evaluating such practices. Through rigorous analysis, it becomes apparent that mechanisms such as supplier compliance, collaboration and development are crucial for promoting social inclusion; however, their importance differs at various levels of suppliers in multi-tiered supply chains. Furthermore, a methodological matrix is introduced for assessing social inclusion practices’ efficacy, equipping practitioners with a roadmap for developing and executing strategies that extend social inclusion efforts throughout the supply chain, as well as emphasising these levers through monitoring, assessment and application of six specified indicators.

This study contributes to the dialogue surrounding upstream supply chain management by spotlighting social inclusion practices, addressing the literature gap in comprehending how social inclusion dynamics operate within upstream supply chains and outlining a distinct direction for forthcoming research. By highlighting the pressing importance of enhancing social inclusion practices, this study not only enriches the theoretical landscape but also lays the groundwork for subsequent empirical studies aimed at deciphering the complexities and practical hurdles associated with the efficient execution of these practices.

Industry 4.0 (I4.0), the Fourth Industrial Revolution, integrates Big Data analytics, blockchain, cloud computing, digitisation and the Internet of Things to enhance supply chain (SC) activities and achieve sustainable growth through dynamic capabilities (DCs). This approach equips businesses with the necessary tools to optimise their operations and remain competitive in a dynamic business environment. The value proposition of a business encompasses a wide range of activities that add value at each stage. By leveraging DCs, a firm can achieve innovation, gain a competitive advantage and enhance its adaptability. Conversely, effective value chain management can amplify the influence of a firm's DCs on SC sustainability, by reducing waste, optimising resource utilisation and fostering strategic partnerships. This mutually beneficial connection takes the form of a dynamic interaction in which I4.0 technologies act as a catalyst to help organisations become more resilient, adaptive and responsive. The adoption of these technologies denotes a comprehensive approach to business shift, not merely technical integration. I4.0 has an impact on several organisational disciplines outside of manufacturing, from automation and efficiency advantages to quality enhancements. This chapter offers an extensive literature review to explore the level of SC sustainability that a business can achieve by combining its DCs and implementing strategic I4.0 adoption. The function of value chain management in moderating the effects of I4.0 and DCs on SC sustainability is also assessed. This study proposes a theoretical model that is grounded in the insights extracted from the literature review.

This study aims to distinguish how unabsorbed and absorbed slack affects market and financial performance via proactive and reactive supply chain resilience (SCRES), particularly under varying conditions of organizational ambidexterity.

By collecting survey data from 277 Chinese manufacturers, we verify the conceptual model applying structural equation modeling.

Proactive SCRES mediates the positive impacts of both unabsorbed and absorbed slack on market and financial performance, whereas reactive SCRES mediates only their positive effects on financial performance. High levels of organizational ambidexterity strengthen the indirect effects of both types of slack on market and financial performance via proactive SCRES, but not when mediated by reactive SCRES.

We introduce a new theoretical perspective to view fits (as mediation) between the use of unabsorbed/absorbed slack in different ways when switching attentions to proactive or reactive SCRES, both of which can be improved through organizational ambidexterity. This study offers novel insights into how managers can switch attentions between proactive and reactive SCRES knowing when to appropriately use unabsorbed/absorbed slack for which purposes, and the use of different learning modes (explorative vs exploitative).

This paper aims to examine the mediation effect of organizational learning on the link between human resource management (HRM) practices and organizational performance in some Big4 financial services companies.

The quantitative methodology was chosen for this research, using resource theory and knowledge-based approach to explain the relationship between latent variables. A sample of 403 HR employees and managers of the companies under study in France was selected in 2022. Structural equations modeling was used based on the Spss-Amos program to test the research hypotheses.

The results revealed that organizational learning played a mediating role between HRM practices (hiring, training, motivation and decision-making) and organizational performance and that learning enabled the performance of workers to improve and achieve competitive advantages in this field.

The sample was based on four international companies working in the field of financial services and consulting and providing their services within France, which may affect the generalisability of the results and limit them to the studied sector.

The contribution of the study is to improve the awareness of administrators, decision makers and company employees of the importance of organizational learning for companies, and to stimulate motivation to learn and exchange knowledge in a constructive way that enhances organizational performance. Working on organizational culture change through HRM-practices-based learning as an effective mechanism for organizational performance improvement is one implication. These practises influence cadres' attitudes toward their work, which improves their performance.

Working on organizational culture change through HRM-practices-based learning as an effective mechanism for organizational performance improvement is one implication. These practises influence cadres' attitudes toward their work, which improves their performance.

This study seeks to provide cadres and executives with an in-depth analysis of HRM and organizational learning, which, through its integration of these attributes, can contribute to the earning of knowledge-based competitive advantage and achieve superior and sustainable performance.

This paper primarily aims to identify the multilevel learning processes emerging from abrupt telework implementation in a public knowledge-intensive organization (KIO) amid the COVID-19 crisis.

This single-case process research was guided by interpretivist epistemology. Empirical data from documentary research and 41 interviewed managers were processed by inductive qualitative analysis using the multilevel learning theoretical model.

Eight types and three modes of learning processes during the COVID-19 pandemic were identified in a public KIO, iteratively emerging in multilevel learning dynamics during the compulsory adoption of telework and replacing the face-to-face work mode conducted since its foundation.

As insider researchers, while daily and privileged access to the field was obtained, it also demanded their continuous effort to maintain transparency and scientific distancing; conceptual results are restricted to process theorisation studies, specifically the 4Is theoretical model in the scope of crisis learning process studies concerning KIOs.

This study provides evidence for managers to adopt interactive dynamics among eight multilevel types and three learning modes of emergent learning, developed during the COVID-19 pandemic, and support learning practices’ implementation and routinisation across three organizational levels in crisis situations. In addition, evidencing emergent types of learning enables organizational learning (OL) researchers to examine how organizational structures and work practices either promote or inhibit different learning types and impact multilevel learning when adopting teleworking during a crisis.

This research has theoretical value in two ways: (i) Providing empirically supported knowledge: This involves understanding multilevel learning processes resulting from emergent learning in a public KIO that abruptly adopted teleworking during a crisis context; (ii) deepening process theorization studies on OL: To achieve this, we enhance the 4I model by incorporating eight types and two modes of learning processes. These processes iteratively emerge from the individual and group levels towards the institutional level in a public KIO.

Leveraging upper echelon theory and knowledge-based view of the firm, this paper aims to explore how chief executive officers’ (CEO) sustainability orientation influences explorative and exploitative knowledge management practices, which in turn influence incremental and radical sustainable innovation under boundary conditions of CEOs’ temporal focus and regional affiliation in the home country.

This study used a nonprobability convenience sampling strategy. Using survey-based research, the authors tested the study hypotheses using partial least squares structural equation modeling on a sample of 298 CEOs from Indian small and medium enterprises. This study also tested the reliability and validity of the study variables by using internal consistency tests and convergent and discriminant validity procedures.

The study finds that CEO sustainability orientation affects incremental and radical sustainable innovation via the mediating effect of explorative and exploitative knowledge management practices. Furthermore, CEOs’ past temporal focus increases the influence of orientation on exploitative knowledge management. In contrast, future temporal focus increases the influence of CEO sustainability orientation on exploratory knowledge management practices. Finally, CEOs from the southwest, west and northwest regions of India increase the influence of exploratory knowledge management on radical sustainable innovation.

This study has significant implications for understanding upper-echelon factors that drive knowledge management practices. CEO temporal focus (time orientation) and demographic aspects (regional affiliation) influence CEOs’ investment in different knowledge management and, hence, sustainable innovation management practices. However, this study does not explore cross-cultural differences and the role of the entire top management team in influencing sustainability values on sustainability innovation via knowledge management practices.

This study comprehends upper-echelon factors that drive investment in knowledge management and sustainable innovation practices. Findings imply that CEOs with past and future temporal focus can influence sustainable innovation, but their investment in knowledge management strategies differs. Past temporal-focused CEOs invest more in exploitative and future temporal focus more in explorative knowledge management for influencing sustainable innovation.

The study provides novel insights into the influence of upper-echelon traits on knowledge management and sustainable innovation practices. Extant literature has largely explored firm-level factors such as organizational culture influencing a firm's knowledge management practices. However, by integrating the upper echelon with the knowledge-based view of the firm, we explain how the traits of the CEO, especially the temporal perspective, influence knowledge management and sustainable innovation practices of firms.

To investigate the effects of supply chain (SC) distance on sustainability adoption, this study aims to advance the way prior studies on SC sustainability presume that SC structures are well-developed and stable. Since SC members face structural voids in different regions, we recognize that the information flow is impacted as SC partners often have limited knowledge of their direct partners. Thus, by studying a multi-stakeholder partnership, this article sheds light on the institutional foundation of sustainability adoption issues largely neglected to date.

A qualitative case study was used with members of an MSP (i.e. a roundtable), to understand the beef SC located in Brazil. Overall, 18 h of interview recordings and notes from 18 h of meeting observations were gathered, equaling 36 h of primary data.

Four dimensions of SC distance (physical, organizational, cultural and institutional) were identified, generating three driving effects on symbolic sustainability adoption and, consequently, a degree of invisibility for beef SC members. The results explain the process of sustainability adoption and highlight that smaller and more upstream suppliers show lower degrees of substantive adoption of SC sustainability practices.

This study investigates how SC distance affects the alignment of SC members in terms of sustainability adoption. By providing reflections on how institutional distance can hinder suppliers from adopting sustainability requirements they received from the SC, this research contributes to shifting from sustainability discourse to real practice and proactive partner engagement.