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Although many scholars have investigated different aspects of the notion of innovation ambidexterity, the conceptualization of examining this concept in a technological setting remained unclear, as no serious attempts have been made to figure out the core concept of innovation ambidexterity in a technological context, which is a critical concept for high-tech firms.

This chapter reviews literature on hazing and hazing prevention specific to university athletics, with an emphasis on US and Canadian contexts. A synthesis of studies related to the nature and extent of student-athlete hazing and gender, sexuality and hazing is shared followed by a summary of public health-based approaches to hazing prevention and athlete-specific hazing prevention strategies.

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 paper aims to explore three operations and supply chain management (OSCM) approaches for meeting the 2 °C targets to counteract climate change: adaptation (adjusting to climatic impacts); mitigation (innovating towards low-carbon practices); and carbon-removing negative emissions technologies (NETs). We suggest that adaptation nor mitigation may be enough to meet the current climate targets, thus calling for NETs, resulting in the following question: How can operations and supply chains be reconceptualized for NETs?

We draw on the sustainable supply chain and transitions discourses along with interview data involving 125 experts gathered from a broad research project focused on geoengineering and NETs. We analyze three case studies of emerging NETs (biochar, direct air carbon capture and storage and ocean alkalinity enhancement), leading to propositions on the link between OSCM and NETs.

Although some NETs are promising, there remains considerable variance and uncertainty over supply chain configurations, efficacy, social acceptability and potential risks of unintended detrimental consequences. We introduce the concept of transformative OSCM, which encompasses policy interventions to foster the emergence of new technologies in industry sectors driven by social mandates but lack clear commercial incentives.

To the best of the authors’ knowledge, this paper is among the first that studies NETs from an OSCM perspective. It suggests a pathway toward new industry structures and policy support to effectively tackle climate change through carbon removal.

This chapter explores the interplay between organizational conservatism (OC) and corporate social responsibility (CSR) practices within family firms, specifically in Morocco. By exploring the familial dimensions of CSR, the study aims to uncover the impact of OC on CSR strategies, outcomes, and implications. Employing an exploratory qualitative design with multiple case studies, the research examines three Moroccan family firms. Thematic content analysis (TCA) was used to synthesize interview data and extract primary themes. The findings illustrate that OC fosters stable, values-driven, and sustainable CSR initiatives. This is achieved through the alignment of shared values, cautious change management, prudent financial strategies, commitment to legacy, and integration with family values. Moreover, the study underscores the informal nature of CSR practices in the Moroccan context, which are deeply intertwined with cultural, social, and religious norms. The implications of this research shed light on the effectiveness of OC in promoting enduring and meaningful CSR efforts within family firms. This study contributes to a nuanced understanding of the relationship between conservatism, CSR, and familial dimensions, enriching the discourse on responsible business practices.

In today's rapidly evolving digital era, the focus on Customer Knowledge Management (CKM) has emerged as a critical endeavor for businesses aiming to enhance the customer experience, strengthen customer relationships, and secure future engagement, particularly as they navigate the complex landscape of digital transformation. The integration of innovative and ethical digital transitions has the potential to significantly influence the CKM process, ultimately reshaping the very essence of the business model in terms of performance, productivity, and sustainability within the market. The core objective of this chapter is to explore further the complex domain of digitalization and its profound impact on businesses, with a specific emphasis on Small and Medium-sized Enterprises (SMEs). Through the lens of CKM, we will explore how leveraging digital tools and strategies can empower businesses, especially SMEs, to foster digital innovation within their CKM initiatives and subsequently attain and sustain a competitive advantage in an increasingly dynamic and competitive marketplace.

The purpose of this study is to investigate the mediating influence of three digitalization antecedents on the links between digitalization and survival. It addresses the roots of digitalization to discover different patterns and foundations that contribute to higher survival rates. The article explores whether a learning strategy can attain survivability on its own or whether digitalization facilitates the function of learning in survival.

The study uses partial least squares structural equation modeling to analyze data from 483 firms to assess this study’s hypothesis. Additionally, necessary condition analysis (NCA) is used to specify the necessary conditions of survivability.

The authors find a positive relationship between digitalization and business survival, as well as evidence of the strong mediating effect of resilience and learning in survivability. In addition, the study reveals that digitalization can serve as a sufficient condition for survival but not a necessary one, as it may be replaced by the mediating variables.

The research offers insights into digitalization’s impact on business survival but faces limitations such as geographic focus and reliance on self-reported data. Despite this, it contributes to theory and practice by exploring how digitalization, organizational capabilities and resilience intersect.

This study provides insights into the required parameters for survival and the elimination of outliers in NCA.

This work provides insights into different antecedents of digitalization and business survival.

This study intends to (1) systematically review methodological, theoretical and empirical aspects of dynamic capabilities (DCs) research in international marketing; (2) identify problematic areas and gaps in the reviewed literature and (c) provide directions to address problematic aspects and fill the gaps in future research.

The study applies a systematic literature review methodology and covers 97 articles published between 2001 and 2022 in peer-reviewed journals ranked 2, 3, 4 and 4* in the Academic Journal Guide 2021.

The content analysis shows that (1) methodologically, the literature is dominated by single-country studies conducted mostly in Asia and Europe on a cross-section of industries, mostly adopting survey-based approaches with a cross-sectional time emphasis; (2) theoretically, dynamic capabilities view is mainly accompanied by resource-based view, followed by institutional-, organizational learning- and internationalization theories; and (3) according to the nomological network, DCs are predicted by firm-characteristics, factors related to networks/relationship/partnerships and managerial characteristics, while they act as predictors of performance-related, strategy-related and operational change and renewal-specific outcomes. Several problematic aspects and gaps for each part of the review are diagnosed.

The authors provide a comprehensive assessment of current knowledge on methodological, theoretical and empirical aspects of the relevant literature, map a nomological network of variables surrounding DCs in international marketing research and offer future research directions capitalizing on the problems and gaps identified in the review.

This research comprehensively analyses the profound impact of Digital Transformation and Process Innovation (DT&PI) on business models (BMs) in the Food Service Sector (FSS), especially in the post-pandemic context. The study is guided by three primary research questions: (1) Identifying key FSS players and their interconnections, (2) Understanding the differentiation strategies these entities employ and (3) Assessing how COVID-19 has altered their BMs.

The study utilises a rigorous methodology, starting with a thorough analysis of the Business Model Canvas (BMC) for 100 prominent Spanish FSS firms, culminating in a comprehensive sector-wide BMC. Cluster analysis is then applied to group firms based on common attributes and relationships identified in the overall BMC. Additional insights are gathered through semi-structured interviews with representatives from FSS companies.

The study identifies five distinct clusters of FSS companies, each defined by unique BM strategies. These strategies mainly focus on sales and distribution channels, differentiating between those using multiple channels and those solely relying on digital platforms. Importantly, the study shows that digital transformation in the FSS was already in progress before the pandemic but was greatly expedited by it. COVID-19 stimulated the digitalisation of services, expanding sales channels and diversifying customer engagement.

This research enriches the dynamic capabilities theory by examining how DT&PI influence BM innovation in the FSS, highlighting adaptation to technological trends. It offers a fresh perspective on value creation and stakeholder interaction, contributing to the foundational theory for future FSS BM research.

This research focuses on the controlling irreversibilities in a radiative, chemically reactive electromagnetohydrodynamics (EMHD) flow of a nanofluid toward a stagnation point. Key considerations include the presence of Ohmic dissipation, linear thermal radiation, second-order chemical reaction with the multiple slips. With these factors, this study aims to provide insights for practical applications where thermal management and energy efficiency are paramount.

Lie group transformation is used to revert the leading partial differential equations into nonlinear ODE form. Hence, the solutions are attained analytically through differential transformation method-Padé and numerically using the Runge–Kutta–Fehlberg method with shooting procedure, to ensure the precise and reliable determination of the solution. This dual approach highlights the robustness and versatility of the methods.

The system’s entropy generation is enhanced by incrementing the magnetic field parameter (M), while the electric field (E) and velocity slip parameters (ξ) control its growth. Mass transportation irreversibility and the Bejan number (Be) are significantly increased by the chemical reaction rate (C_r). In addition, there is a boost in the rate of heat transportation by 3.66% while 0.05⩽ξ⩽0.2; meanwhile for 0.2⩽ξ⩽1.1, the rate of mass transportation gets enhanced by 12.87%.

This paper presents a novel approach to analyzing the entropy optimization in a radiative, chemically reactive EMHD nanofluid flow near a stagnation point. Moreover, this research represents a significant advancement in the application of analytical techniques, complemented by numerical approaches to study boundary layer equations.