Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics management capabilities (BDAMC) influence innovation performance. This study bases its assumptions on the

This study addresses the fragmented understanding of the relationship between digital transformation (DT) and innovation by proposing a multi-level framework that integrates diverse disciplinary perspectives. This framework provides deep insight into how DT influences innovation. A systematic literature review was conducted, and based on the findings, a research agenda was outlined as a roadmap to

The Gen-Z, who are deemed digital natives, have shown interest in the metaverse. The emergence of augmented reality (AR), virtual reality (VR), and mixed reality (XR) technologies in recent years has fuelled the increased interest in metaverse gaming. However, extant literature is yet to understand the individual orientations of these digital natives towards prime aspects of metaverse gaming and how

This research explores the relationship between factors that play a crucial role in e-commerce. This research aimed to check the direct relationship between customer engagement, innovation, and behavior of consumers towards phygital products on patronage intention. Furthermore, this study has explored the mediating role of the behavior of consumers toward phygital products and the moderating role of

Supply chain management (SCM) and total quality management (TQM) represent two parallel approaches to improving organizational performance. Previous studies have analyzed the SCM features impacting organizational performance independently of the design of TQM practices. Similarly, the recent literature on SCM overlooks TQM when incorporating lean and agile elements in SCM practices and strategies.

The field of MLOps (Machine Learning Operations), which focuses on effectively managing and operationalizing ML workflows, has grown because of the advancements in machine learning (ML). The goal of this study is to examine and contrast the difficulties encountered in the implementation of MLOps in enterprises with those encountered in DevOps. An SLR (Systematic Literature Review) is the first step

While studies on ambidexterity and its impact on outcomes have been ubiquitous in organizational research, the literature regarding its nature in schools has been scarce and has lacked information about its impact on student achievement. To address this research gap, this study examined the interactive role of the two dimensions of ambidexterity—exploration and exploitation—in accounting for variations

Entrepreneurial self-efficacy holds significant importance due to its broad influence, benefiting not just entrepreneurs but also extending its impact to other domains. This is why it is so important to have an understanding of the factors that are at its core. Our primary aim is to investigate the influence of family communication on entrepreneurial success. In doing so, we will explore mediating

The rapid integration of generative AI (GenAI) into industries and society has prompted a re-evaluation of copyright and intellectual property rights (IPR) frameworks. GenAI's ability to produce original content using data from human-created sources raises critical ethical and legal concerns. Current copyright and IPR frameworks, designed around human authorship, are insufficient to address these challenges

Addressing climate challenges and achieving the Sustainable Development Goals (SDGs) necessitate a deep understanding of how green policies influence carbon emissions. Therefore, this study explores the impact of green finance, innovation, and taxation on carbon emissions in OECD countries while accounting for economic growth, renewable energy, and energy productivity. Utilizing the method of moment

This study aims to provide a state-of-the-art review of the literature on Knowledge Hiding (KH), focusing on its inherent knowledge structure (i.e. intellectual, social, and conceptual structure). This study also presents an integrative synthesis of previous research and highlights knowledge gaps and limitations for further knowledge advancement in this field.

This study investigated the moderating effect of collectivism as a national culture on the interaction between organizational culture (measured in terms of clan, adhocracy, market, and hierarchy cultures) and commitment in the context of SMEs. A total of 1200 questionnaire surveys were delivered to 155 SMEs, of which 356 were deemed valid. The hypotheses were tested using a hierarchical multiple regression

In the dynamic world of construction projects, fostering innovation is paramount. This study investigates the transformative potential of shared leadership as a catalyst for team innovation. We examine knowledge-sharing density as a critical mediator through the lens of knowledge management. We adopted a mixed methods approach, collecting multi-wave and multi-source field data and using social network

In a world increasingly driven by digital transformation, emerging technologies such as blockchain, artificial intelligence, and the metaverse hold great promise for economic and social progress. However, their widespread adoption is influenced by various factors that can either hinder or facilitate this process. This study aims to investigate the key factors affecting the adoption of next-generation

The undeniable mutual relationship between the environment and the individual begins with the onset of human life. This human–environment relationship imposes, on every generation, the task of leaving behind a clean and sustainable environment. This study aims to investigate the determinants of pro-environmental innovative behaviours in a generational context. The study's findings provide valuable

Digital transformation is pivotal in corporate development, fundamentally reshaping core business components. Although it is recognized that enhanced digital capabilities improve performance through data-driven processes, existing research has primarily focused on large enterprises. As a result, small and medium-sized enterprises (SMEs) often hesitate to invest due to uncertainties regarding the impact

Measuring innovation has long posed a significant challenge and has been the subject of extensive scientific research. Various definitions and measures of innovation exist, and each measurement approach faces limitations. This research aims to conduct a systematic literature review to expose the tendencies in measuring various types of innovation, thereby revealing different approaches, challenges

Cooperative forms of organization have led to major advances in energy use in the last decade. A common cooperative form in the energy sector is that of energy communities. These energy communities produce, distribute, and consume their own sustainable energy. To explore this cooperative structure and create knowledge on the topic, this study presents a comprehensive bibliometric analysis of the scientific

This article proposes that artificial intelligence (AI) is positioned as a key driver of a new evolutionary stage of human knowledge, complementing human intelligence and facilitating the creation and development of sophisticated collective intelligence, defined as the noosphere, understood as the sphere of collective human thought. The study reveals several key insights into the transformative potential

The cumulative stress to acknowledge environmental challenges bound businesses to embrace sustainable practices into their business operations. In Vietnamese context, green ventures are considered a key contributor, hence, play major part in transformative landscape. Therefore, the study finds an opportunity to explore the effectiveness of green knowledge management practices on the success of Vietnam's

The progression of logistics and supply chain management (LSCM) has been significantly influenced by various factors, such as structural changes, increased customer awareness, digitalization, resilience requirements, and a growing emphasis on sustainability. This intricacy emphasizes the need for a comprehensive reevaluation of essential professional competencies. This study aims to provide a thorough

This research examines the intricate relationships between artificial intelligence (AI)-induced job insecurity, psychological safety, knowledge-hiding behavior, and self-efficacy in AI learning within organizational contexts. As AI technologies increasingly permeate the workplace, comprehending their impact on employee behavior and organizational dynamics becomes crucial. Based on several theories

One of the significant challenges to achieveing the Green Supply Chain Management objectives is the ecological footprint associated with several logistics operations. In this study, we examine the impact of countries' logistics performance on environmental quality. For this purpose, the study collected data from a panel of 43 global economies over the period of 2010–2016. We used a composite index

The research aims to provide a structured approach for leveraging Intellectual capital (IC) to enhance sense-making within the network, ensuring clarity on the goals and stakeholders involved in each strategy.

The coronavirus disease 2019 pandemic has accelerated the adoption of remote and hybrid forms of work in organizations. Despite the benefits that these flexible working models can bring to both employees and organizations, they are accompanied by a darker side. Heavy digital presence, increased workload, and blurred boundaries between work and life are some of the hindrances derived from remote working

Entrepreneurial success has become a necessary element of economic survival due to the current economic conditions and uncertainty worldwide. Thus, in this research, we explore green social behavior's impact on social, technological, and business innovation in a sample of Vietnamese manufacturing firms. Results of a PLS methodology reveal that green social behavior positively impacts the three aspects

The rapid development of artificial intelligence (AI) has significantly transformed digital marketing enhancing its effectiveness and raising new ethical and privacy concerns. This study investigates the ethical implications of AI-based digital marketing, particularly focusing on user privacy. In terms of methodology, a systematic literature review (SLR) was conducted to identify relevant variables

This study examines the multifaceted impacts of digital innovations on organisational structures and stakeholders ‘commitment. The integration of digital technologies, including information technologies, IoT, AI, AR/VR, blockchain, robotics, and automation, underscores the indispensable role of trust in contemporary business operations. Focusing on Italian manufacturing firms at the forefront of Industry

The existing literature on SME internationalization has inadequately integrated joint innovation capabilities, organizational unlearning, and the internationalization process. Previous studies have primarily examined these concepts separately, obscuring their interconnection and reciprocal impact. This study fills in a gap in the literature and responds to calls for more studies (e.g., Du, Zhu & Li

Despite the increasing adoption of digital technology, small and medium enterprises (SMEs) continue to lag behind larger firms. This study integrates the technology, organization, and environment (TOE) framework with Rogers’ diffusion of innovation (DOI) theory to investigate the factors influencing SMEs’ digital technology adoption. Data from 419 SMEs was analyzed using partial least squares structural

The UN Sustainable Development Goals (SDGs) emphasize moving the manufacturing sector towards adopting environmentally friendly practices. Manufacturing industries play a critical role in the economic growth of a country; however, they are also associated with directly affecting the environment. Due to limited resources, shifting towards sustainable practices is difficult. The current study examines

As a disruptive technology, blockchain has become a strategic priority for many businesses. A vast amount of research exists on blockchain's innovative nature and immense potential for multiple industries. This study aims to synthesize the existing research to classify the findings into various themes and propose avenues for further research. A total of 2,360 academic articles were analyzed using the

Corporate foresight (CF) is considered an organizational capability that contributes to the innovativeness and sustained competitive advantage of firms, particularly in the presence of organizational learning (OL). The business literature positions individuals as important to the CF process but it provides limited clarification about how individuals do foresight or, more specifically, how they experience

Firms’ innovation positively affects their competitiveness and thus their financial performance. To bridge the research gap in the theoretical framework of dynamic capabilities and respond to the call for papers to explore new ways of analyzing innovation in family businesses, this study investigates how entrepreneurial orientation and absorptive capacity influence innovative capacity in family firms

The advent of the digital era has transformed the way businesses create, compete, and maintain their existence, particularly in the aftermath of the COVID-19 pandemic. To maintain resilience in the ever-changing business landscapes of today, especially in emerging economies, businesses utilize dynamic information technology capabilities (DITC) to cultivate organizational capacities that foster innovation

This study investigates how the discrete emotions expressed by travel influencers on YouTube influence viewer engagement, distinguishing between macro- and micro- influencers. Using text mining and machine learning techniques, 6,061 travel-related videos were analyzed. The results indicate that high-arousal negative emotions such as anger and disgust enhance engagement for macro-influencers but reduce

This study examines the influence of digital capabilities in sculpting entrepreneurial orientation (EO) and enhancing metaverse entrepreneurial performance (MEP). Grounded in the theoretical frameworks of the resource-based view (RBV) and dynamic capability theory (DCT), this research explains the mechanisms through which three facets of digital capabilities (infrastructure, business spanning, and

As smart cities advance, Internet of Things (IoT) devices present cybersecurity challenges that call for innovative solutions. This paper presents a conceptual model for using AI-enabled anomaly detection systems to identify anomalies and security threats in smart city IoT networks. The foundation is supported by the Complex Adaptive Systems (CAS) theory, Technology Acceptance Model (TAM), and Theory

This article investigates the critical role of Digital Literacy (DL) in shaping the adoption and use of ChatGPT. As advanced AI tools rapidly integrate into daily life, it is essential for both policymakers and technology developers to understand the factors driving their mainstream adoption. DL was quantified using the Internet Skills Scale (ISS) tool, applied on a scale of 0 to 10 across six areas

Two questions persist regarding global value chains (GVCs): First, what are the strategies and pathways through which multinational enterprises (MNEs) integrate and navigate GVCs? Second, what are the characteristics of GVCs in which MNEs participate? An analysis of these questions leads to inside–out and outside–in perspectives on GVCs. The literature on MNEs mostly focuses on the quantity and quality

In today's rapidly evolving digital landscape, the substantial advance and rapid growth of data presents companies and their operations with a set of opportunities from different sources that can profoundly impact their competitiveness and success. The literature suggests that data can be considered a hidden weapon that fosters decision-making while determining a company's success in a rapidly changing

Entrepreneurial ecosystems (EEs) are a growing focus for policymakers and academics seeking to foster innovation and economic growth. While existing literature has analysed various aspects of EEs, limited research has examined how public policies can contribute to their development. Through a single-case study, this study addresses this gap by analysing the role of a regional government in overcoming

This study aims to unify the fragmented knowledge on human resource (HR) well-being in innovative start-ups, a critical factor in their success. Through a systematic literature review, we analysed 42 peer-reviewed articles using MySLR software to identify key themes and dimensions in this area. Our findings suggest that HR well-being in start-ups can be understood as a higher-order construct, encompassing

Recommendation agents (RAs) have proven to be effective decision-making tools for customers, as they can boost trust and loyalty when customers shop online. They can analyse large amounts of data using machine learning algorithms and predictive analytics capabilities to provide highly relevant recommendations to users. In previous studies, several approaches have been implemented to refine and assess

Entrepreneurship is a crucial driver of economic growth, necessitating the development of effective entrepreneurial ecosystems. However, there are significant gaps in the literature regarding the structured assessment of these ecosystems. This study addresses three main research gaps: the lack of structured evaluation methods, the need for a comprehensive analysis of ecosystem challenges from various

Empirical studies based on detailed, theory-based analyses are essential for a deep understanding of technology adoption. This study provides an overview of blockchain applications in logistics management, employing a comprehensive theoretical framework. Blockchain is considered a critical digital infrastructure for logistics operations due to its distinctive characteristics, including decentralization

The industry organization theory in the early stage emphasizes the structure-conduct-performance (SCP) paradigm, indicating that industry characteristics and structure factors influence firm performance. Accompanied by technology development and the enhancement of innovation capabilities, the resource-based theory (RBT) has gradually attracted greater attention. Industry structure and competitive forces

This study focuses on the structure of self-learning as a multidimensional construct, through competences such as autonomy and study planning of undergraduate students, over the last three years. The objective of this study, framed by Technology Acceptance Model (TAM), aims to gain insights into the acceptance of self-learning in online educational models within a post-pandemic, university context

The optimization of sustainable smart cities is an essential endeavor in modern urban development, aiming to enhance the quality of life for citizens while minimizing environmental impacts. Big data plays a critical role in achieving these goals by enabling the collection, analysis, and utilization of vast amounts of information to make informed decisions. However, implementing big data in smart cities

Persisting global crises, such as COVID-19, pose significant challenges for international companies. The increase in uncertainty and instability in foreign markets has profoundly affected firms' strategic decisions, forcing them to adapt to dynamic conditions in order to maintain or improve their international performance. Grounded in the dynamic capabilities view, this study examines how exploration

Leadership can play an important role in knowledge hiding. This study investigated the unexplored impact of altruistic leadership (AL) on knowledge hiding by assessing the mediating role of team learning (TL) and knowledge culture (KC) in this relationship. Structural equation modeling was used to test 14 hypotheses based on primary data from 368 surveyed Slovakian companies representing diverse enterprises

Understanding the patterns of innovative technological collaboration between universities and clusters of high-tech firms, along with the involvement of female inventors, is crucial for both regional and national development. Here, we explore the technological collaboration between Silicon Fen (SF) firms and University of Cambridge (UoC) as a cluster of high-tech businesses and a main research university

This study explored the growing adoption of the Metaverse in the supply chain field, primarily focusing on topics discussed in news media and identifying the benefits of effective implementations. It further investigated whether disparities in these topics exist across various industries. Over 2,000 news articles, published in reputable global newspapers were collected using the LexisNexis online database

The strict rational paradigm of neoclassical economic theory has resulted in limited exploration of emotions in managerial decision-making processes. This study attempts to address this gap by examining how emotions influence efficient managerial decision-making, generating a modern perspective for organizational theory beyond the existing theoretical paradigm. The concept of managerial decision-making

Today's world is dealing with various challenges such as global warming, overpopulation, resource allocation, uneven economic development and many others. Most of these issues are not novel; however, since the number of global populations living in urban areas is expected to increase, these problems will become more and more difficult to manage. Some of these challenges and issues refer to fast urbanization

The COVID-19 pandemic had a profound impact on the restaurant industry in Alabama. This qualitative study examines how Alabama restaurants demonstrated resilience and adaptability across three distinct phases of the pandemic, including the period of unrestricted activities, offering a new perspective. The findings highlight significant operational, financial, and labor-related difficulties faced during

Currently, the global market for subscription services is facing a crisis of approaching saturation, prompting increased attention to the Asia-Pacific region. Meanwhile, digital content subscription services in Japan are late in the game but are on a continuous upward trend, indicating significant development potential. Despite a global shift towards digital consumption, Japan's strong preference for

In the ever-evolving banking landscape, effectively addressing sustainability concerns while meeting customer expectations is essential. This study introduces an innovative Corporate Social Responsibility (CSR) Feedback Framework designed to align the banks’ sustainability strategies with customer perceptions and expectations. The framework utilizes a comprehensive approach by integrating customer

This study focusses on young entrepreneurs and considers the extent of business incubators’ impact on the development and visibility of projects headed by young people. To do so, we analyse incubators’ role as ecosystems for entrepreneurship in Spain based on the 2023 Funcas survey. First, we categorised incubators according to entrepreneurs’ age, defining young incubators as those in which most of

This study distinguishes itself from existing organizational culture studies by investigating the relatively under-studied theoretical relationship between organizational culture and employer attractiveness. To capture the holistic nature of organizational culture theory, this study adopts configurational analysis, which contrasts resourceful cultural attributes (collaborative, employee development