Purpose There has been a global shift in terms of customers’ intention and willingness to buy eco-friendly products and contribute towards sustainable development. This has led to an exponential increase in awareness among customers, especially when making green purchases. Therefore, this study aims to investigates the role of environmental concern (EC), knowledge and eco-label knowledge (ELK) on customers’ green purchase intentions (GPIs). Therefore, grounded on attitude behaviour context and the theory of reciprocal determinism, this study investigates the role of EC, knowledge and ELK on customers’ GPI. Design/methodology/approach A structured questionnaire was circulated and response from 365 consumers was collected to empirically test the proposed model. The model was tested to study the association and mediation effects among the variables using Structural equation modelling. Findings GPI is influenced by EC, environmental knowledge (EK) and ELK and green trust plays a pivotal role in converting these factors to green buying behaviour of customers. EK and ELK indicated a substantial link with green trust. A significant correlation between green trust and GPI was also established. All paths in the proposed model were positively correlated and significant on a statistical level. Results also indicated that the green trust acted as mediator and gave strong insights for marketing professionals and policymakers to form sustainable policies for the mutual benefit of both organisations as well as consumers. Research limitations/implications The implications of research enable appropriate strategy formulation for sustainable growth and GPIs of consumers. It will also escalate the growth of environmentally friendly projects among business organisations. Practical implications Aim of the study is to provide mutual benefit to the policymakers, marketing professionals and consumers to build an ecofriendly environment through GPIs among consumers for sustainable growth and development. Originality/value A novel contribution of the study is its model that shows the association of EC, ELK, EK by green trust as mediator and their combined effect on GPI of consumers It also reflects the significant role of green trust in translating EK and ELK in the buying behaviour of customers.

ABSTRACT High-net-worth individuals, and the business organizations they found and lead, are becoming a class of ‘elite’ donors who use philanthropic vehicles and mechanisms often drawn from business to achieve their philanthropic goals. With the entry of this class of donors into the realm of global education, the authors argue that we are witnessing the commodification of legitimacy. Utilizing comparative methodology, they examine case studies from Brazil, China, India, and the United States to systematically analyze global trends and regional differences in contemporary for-profit corporate and private philanthropic enactment. The analysis reveals consistent themes, with regard to philanthropic trends, as well as contemporary philanthropic enactment patterns that show the capitalist economy to be a driving force of globalization and transformation in global education. The discussion reflects on how new roles simultaneously support and undermine global education goals, highlighting these trade-offs as they relate to legitimacy, transparency, and accountability. This contribution brings the attendant vulnerabilities and trade-offs of non-state actor engagement to the forefront of discourse around the achievement of Sustainable Development Goal 4 and considers safeguards that can be taken to ensure equitable and democratic education governance.

In this paper, we examine the transferability of the theory of the first-mover advantage to national sports associations in individual sports for the first time. The conceptual analysis examines the replicability through a comparative analysis, a theoretical modeling, and a case logic across three approaches. The comparative analysis detects a fundamental possibility of transferring the first-mover advantage, considering macroeconomic control variables and a specific athlete assignment process to reflect structural differences between business organizations and national individual sports associations. While the theoretical modeling demonstrates that the individual first-mover advantage components can generally be transferred to national individual sports associations, the case logic simulates how plausible first-mover effects could occur in individual sports and reveals highly relevant effects to the reality of national individual sports associations. The findings serve as an important basis for future studies to explore a potential first-mover effect in individual sports and derive success-focused implications for action.

The study explores and highlights the direct relationship between contemporary knowledge, paradigms, aims, and public expectations in the field of artificial intelligence (AI) and its definitions. For the purpose of this research, the division of the stages of the development of AI was used for analogies to the seasons; spring to winter of AI. The history of AI is covered here only in the range necessary to point out this relationship with the possibilities of derivingthe resulting definitions. Examples of period-typical AI definitions are given for each period. This historical excursion is then used as a background for thinking about the form (not the content) of the definition of AI that is appropriate to the current state of the field and its paradigm, focus, and use. The current discussion on the shape of the definition of AI within the framework of EUlegislation is outlined. The form of a suitable definition of AI for the present is examined from the perspective of interested parties, such as multinational entities, business organisations, and other stakeholders, and is compared with some already valid definitions of these entities. A paradox in the definitions of AI, which are always too “narrow and broad at the same time” from a certainpoint of view, is pointed out. Finally, the possibility of deploying a fractal defi nition with a fixed rational-moral core but changing content with respect to the levels at which it is applied is explored within a conceptual ideation. This operational fractal definition could, in principle, resolve the ever-present “broadness-narrowness” paradox.

In the contemporary digital business landscape, cybersecurity has emerged as a critical strategic imperative for enterprise sustainability and competitive advantage. This paper presents a comprehensive theoretical framework for enterprise cybersecurity management that integrates intelligent anomaly detection mechanisms with proactive threat mitigation strategies. Drawing upon established theories including the Technology-Organization-Environment (TOE) framework, Dynamic Capabilities Theory, and Risk Management Theory, this study develops a multi-dimensional model for understanding and implementing effective cybersecurity governance in business organizations. The proposed Strategic Cybersecurity Management Framework (SCMF) encompasses five interconnected dimensions: organizational readiness, technological infrastructure, human capital development, governance mechanisms, and continuous improvement processes. Through systematic analysis of existing literature and industry best practices, this paper identifies critical success factors, key performance indicators, and implementation guidelines for organizations seeking to enhance their cybersecurity posture. The framework provides actionable insights for business leaders, IT managers, and policymakers navigating the complex cybersecurity landscape while maintaining operational efficiency and business continuity.

Abstract Business organizations have been forced to reevaluate their operations, technology use, and virtual staffing in an effort to increase efficiency and effectiveness as a result of the global COVID-19 pandemic. In this case, HR managers are crucial in identifying functional barriers and difficulties and creating strategies to effectively address them. HR managers deal with a variety of challenges, such as managing remote teams, fostering employee engagement so that they feel a sense of social belonging to the company, and reducing employee stress brought on by frequent virtual meetings and sessions. Thus, this study’s primary goal is to pinpoint the main difficulties that remote employees and HR managers in virtual organizations encounter. The primary basis for the study was secondary data, which included websites, news items, published articles, and other online resources. The paper also suggests potential solutions to these problems. Keywords: Telework, Remote Work, Remote Workers, Virtual Workplace.

This undertaking performs bunching of the items dependent on the exchange history of the item buys and after that partitions the items into dead stock, slow moving stocks and quick moving stock utilizing grouping calculation. After that the clients will be posed a progression of inquiries who have acquired moderate moving stock so as to discover the explanations for the buys and furthermore moderate moving stocks are arranged into high likeliness, medium likeliness and low likeliness with the goal that it encourages the web based business organization to design as needs be the future deals.

Abstract Modern research and business organizations often require information integration from multiple sources, creating a fundamental tension between the need for collaboration and the obligation to maintain autonomy, data security and regulatory compliance. Building on prior work that introduced federated computing (FC) as a data-driven approach to business infrastructure, this article investigates its theoretical foundations. We formalize four foundational principles that align the architecture with policy requirements: distributed data assets, federated services, standardized application programming interfaces (APIs) and decentralized governance. Although necessary, these principles cannot guarantee system-wide coherence without a federated orchestration layer to ensure that distributed components remain aligned as policy, context and computation evolve independently across jurisdictions. Central to our analysis is a novel value–identity model that reconciles collaborative data use with the preservation of sovereignty. Our investigation provides theoretical insights into the requirements for distributed coordination, privacy-preserving data transformations and the integration of governance architecture. A pharmaceutical research case study illustrates how FC enables multi-jurisdictional analytics without centralized control. FC establishes the conceptual foundations for integrating sovereignty-aware data and services in large-scale, multi-stakeholder environments at the intersection of information systems, governance and architectural design.

This study examines how transparent business organizations communicate during crisis‎ events, how prepared they are for such communication, and how their attitudes towards transparent‎ communication have changed over a period of 10 years. A longitudinal study was conducted to‎ determine how transparent the crisis communication of business organizations actually is and what‎ their self-perception of transparency entails. Based on the research findings, it was determined that‎ business organizations believe that their communication is transparent. However, the content analysis‎ showed that it was not completely transparent, i.e., transparency declines during crisis situations, and‎ most business organizations do not inform stakeholders about the risks associated with their business‎ operations. Optimism regarding the progress of communication transparency in the European Union is‎ supported by the EU Corporate Sustainability Reporting (CSR) Directive, according to which all business‎ organizations will be required to begin reporting in 2024.‎

QR codes have become one of the most commonly used technologies during the COVID-19 pandemic in government, business, and various organizations, with significant usage in financial systems for payments, authentication, and access to digital services. QR codes are primarily used as digital links to web applications or for contactless interactions. Due to the advancing nature of technology, QR technology has developed along with various risks, one innovative instance of this risk being QR code phishing. QR code phishing attacks lead to significant and harmful consequences, including monetary loss and data breaches, affecting both individuals and organizations, particularly in banking, mobile payment systems, and online financial services. QR codes can be compromised and directed to harmful websites, causing unsuspecting individuals to end up on deceptive financial platforms. Recently studied countermeasures reveal significant shortcomings, such as dependence on trusted third parties for verification, excessive time complexity, and the failure to guarantee confidentiality, integrity, authentication, and availability concurrently within one system. Therefore, a stronger countermeasure is necessary for effectively reducing QR code phishing attacks, especially in financial environments where security and trust in transactions are vital. Thus, this research focused on creating a blockchain-based framework designed to reduce QR phishing attacks. The application developed includes a QR code generator along with a blockchain creation feature. The application safely saves created QR codes in Base64 format, along with related attributes like URLs, owner details, comments, and hash values by employing a proof-of-work system. Additional research is necessary regarding the preservation of the established blockchain within a distributed network, as this would improve real-time verification systems that can reduce QR code phishing threats in financial frameworks.

Purpose This study aims to explore the adoption of artificial intelligence (AI) initiatives within Indian organizations, using the technology-organization-environment (TOE) framework to understand the key drivers and barriers. The primary objective is to identify the critical factors influencing successful AI integration, including technological readiness, organizational capacity and environmental pressures. Design/methodology/approach The authors conducted in-depth interviews of 26 executives of large business organizations in India. These experts had in recent times managed the digital transformation journey in their organizations based upon AI tools. A semistructured open ended interview questionnaire was used to conduct in-depth personal interviews with the experts. The data was content analyzed for themes. Findings The research study findings indicated that to increase adoption of Al based digital initiatives, it was imperative to cater to three elements of the TOE framework. Sub themes from the three themes, namely technology, organization and environment were considered to evaluate the impact of them on the adoption of AI as part of digital transformation in organizations. The investigation revealed that increase in organizational AI tools adoption could be achieved by first initiating awareness and sensitization incentives. Second, both short term and long duration training programs on machine learning and AI must be conducted. This had to be undertaken especially amongst the users to enhance the ease of use of the AI-based digital transformation tools. New organizational AI capabilities have to be built symbiotically with the legacy enterprise information systems of the organization. Dedicated information technology resources were required to be developed. The study findings also indicated that managers have to be aware of legal compliance while using AI. Furthermore, executives must comprehend the rapid change both in AI tools potency and also in customer behavior. Leadership support from top management team was also a key factor which accelerated and facilitated adoption of AI-based digital transformation initiatives. The results indicate that AI adoption depends not only on technical capabilities, but also on organizational culture and external forces. The paper concludes with practical recommendations for managers and policymakers to enhance AI adoption strategies, offers theoretical implications for future research, and highlights the need for targeted interventions to address ongoing challenges in digital transformation within the Indian context. Practical implications This research study findings would help managers leading AI enabled digital transformation initiatives in their firms. The findings would help the managers understand what went right and what could potentially go wrong during implementation of artificial intelligence initiatives in organizations. The study findings can act as a guiding principle workbook for organizations which are planning to embark on the journey of launching AI led transformation in their organizations by focusing on internal (technology and organization) and external (environment) factors. The study also sheds light on how organizations are driven by external catastrophic events like Covid-19 pandemic. The study findings will also be relevant for the change leaders of organizations to understand how to be the chief narrator of AI based digital transformation. Furthermore, it would also help executives regarding how to track AI adoption to measure success of the digital initiatives in organizations. Social implications The authors conducted an empirical investigation. The authors explicated what factors facilitated AI-based digital transformation initiatives. The study was anchored in the theoretical foundation of Technology Organization TOE framework. Thus, this research contributed to the theory of TOE in the context of AI-based digital transformation. This will assist research in studying how the various elements of technology (skills, trust on technology and knowledge on the subject), organization (readiness and support from leadership) and environment (consumer behavior, competitive pressure and government regulation) impact the adoption of AI initiatives in organizations. This study was conducted during and post Covid −19 which gave us an opportunity to study the impact of factors like change in customer behavior, accelerated initiation on adoption of digital initiatives for organizations and hence, the impact of a pandemic on firms in emerging economies while deriving the inferences. Originality/value This empirical research investigation was one of the initial studies that examined organizational AI-based digital transformation planning and execution journey using the theoretical perspectives of TOE. The need for the paper is to address gaps in existing research by exploring factors that influence the adoption of AI within Indian organizations using a qualitative approach. While the concept of TQM and AI has been researched previously, the authors aim to contribute by analyzing specific drivers, barriers, and contextual influences relevant to the Indian setting. This addresses the lack of in-depth understanding about how these factors operate in India, which is important for both theoretical and managerial implications.

The modern business system increasingly integrates artificial intelligence to improve decision quality, operational efficiency, and the human experience. The rapid growth of digital platforms, customer data, and real-time services creates an environment in which traditional rule-based systems fail to respond adaptively. The business organizations therefore require intelligent systems that align technological efficiency with human needs, trust, and satisfaction. Despite widespread adoption, many AI-driven business systems focus primarily on automation and cost reduction, which has resulted in fragmented user experiences, reduced transparency, and limited human engagement. The lack of alignment between AI outputs and human expectations reduces customer satisfaction and employee acceptance. This gap highlights the need for a structured AI-enabled business framework that prioritizes human-centered outcomes while maintaining measurable business performance. This study proposes an AI-integrated modern business system that combines predictive analytics, natural language processing, and adaptive decision support. The system architecture includes data ingestion layers, an AI reasoning module, and a human-interaction layer that emphasizes explainability. A mixed-method evaluation approach has been adopted that combines quantitative performance analysis with user-experience assessment. The model has been validated using a simulated retail and service dataset consisting of 50,000 transactions and 12,000 user interaction logs. The proposed system has achieved a 28.6% improvement in customer satisfaction scores and a 21.4% reduction in service response time when compared with conventional business intelligence systems. Decision accuracy has improved from 76.2% to 89.7%, while employee task efficiency has increased by 18.9%. The explainable AI module has improved user trust ratings from 3.1 to 4.2 on a five-point scale. These results indicate that AI that has been aligned with human-centric design significantly enhances both business performance and human experience.

Digital transformation has become a crucial aspect of organizational strategies in various industries, including the business sector. This systematic literature review (SLR) focuses on understanding digital transformation within organizational business contexts. Through a systematic search of academic databases, The review explores key themes such as technological innovations, operational changes, customer-centric approaches, regulatory implications, and organizational adaptation. Technologies are driving significant changes, enabling organizations to streamline processes, enhance decision-making, and improve overall efficiency. Moreover, digital transformation is reshaping customer experiences, with personalized services and seamless interactions becoming essential for organizational success. Despite the benefits, organizations face challenges such as regulatory compliance, cybersecurity risks, and cultural resistance. By synthesizing existing research, this SLR aims to provide insights and guidance for organizations navigating the complexities of digital transformation in the organizational business landscape in the organizational business.

The performance of commercial banks has recently attracted increasing attention from economists and academics, given the pivotal role banks play in countries' growth and development. The research aims to study the impact of strategic management capabilities on the performance of Iraqi commercial banks. To test the impact of strategic management capabilities on the performance of commercial banks in Iraq, the research seeks to answer the question: Have senior management in Iraqi private banks leveraged their strategic capabilities to enhance these banks' chances of achieving sustainable competitiveness? The descriptive-analytical approach will be used. This was achieved by preparing and distributing a questionnaire to examine the relationship between the research variables and to prove or disprove the hypotheses. The questionnaire was distributed to a random sample of 102 managers in public administrations at intermediate and advanced cadres across 40 Iraqi commercial banks. The researcher used a set of statistical methods to analyse the respondents' answers. The research yielded several important conclusions: Business organisations cannot survive, achieve sustainable growth, or enhance their value unless they possess strategic capabilities that enable them to identify opportunities and address challenges and risks.

Abstract In this paper, we turn to gardens to offer a new ethics of being with the world that can inform sustainable organising. For this, we develop an ecocentric ethics perspective informed by the writing of Karen Barad, in particular her notion of ‘agential cuts’. By reviewing gardening literatures, and exploring our embodied gardening practices, we attempt to ‘step out’ of institutionalised ways of thinking and working to reach for different embodied and relational ways of being with earth-others. We contribute to debates by: (a) tracing multispecies mutualities of ‘cutting-together apart’ within the gardens we tend, to show how such cutting can develop understandings of an entangled ethics in which human involvement can at times be peripheral; and, (b) showing how garden(ing)s can help enrich understandings of ‘ethico-onto-epistemologies’ by situating embodied practices of organising within planetary processes and rhythms which are variously consequential for sustaining forms of life. These contributions stemming from garden(ing)s can help to inform ecocentric thinking-being in business organisations by developing possibilities for (re)conceptualising: how businesses practices, and connected imaginaries, are entangled in creating conditions that can diminish and enhance earth-others existences; and, how the fluidities and temporalities of specifically located webs of life in which businesses activities are part necessitate sensitivities to working with unknowing.

The development of digital economy creates challenges and fixes new rules for tax-payers and taxation bodies, which results in intensive changes in the field of tax control and the whole list of its mechanisms, forms and concrete methods of implementation. Study of tax control problems and its impact on taxation is especially important for small organizations, as in their work taxes form a serious element of costs. The article identifies lines of transforming models of tax control in digital economy. The authors analyzed acute changes in regulatory documents in view of research objectives. It was shown that tax control with advanced digital technologies can provide, on the one hand, transparency and on the other hand, predicting of tax relations, which gives an opportunity to build the most complicated and individualized tax system, which was made acute by the shift in retrospective from the flat scale of taxation to differentiated one. In practice tax monitoring, control over on-line cash-desks and system of retail payments, realization of ASK system VAT-2 proved the joint development of tax control and accompanying digital technologies. It can help optimize tax relations by increasing sustainability of small business organizations sensible to tax burden and check-ups, as tax accounting and interaction of small business organizations and tax bodies become transparent and predictable, while tax risks are minimized. Introduction of information technologies can speed up the process of managerial finance decisionmaking, put relations between tax bodies and tax-payers on a new level, which can promote further transformation of the model of running business, business-processes of organizations and traditional concept of tax control. Digitalization of tax control aims at increasing values of its efficiency, provision of transparency of taxation, which can make tax relations more predictable and raise organization sustainability.

This article makes a key contribution to debates on algorithmic management by bringing together insights from labor process analysis and critical data studies to examine how workers experience and understand injustices related to the introduction of data-driven technologies. Based on 34 interviews with telecommunications call center workers in the United Kingdom and Greece, we find that while there are prominent concerns about uses of new technologies, workers tend to “see through” the technology to situate such concerns within wider power dynamics, most notably organizational culture, business models, and relationships with managers. Informed by debates on data justice, we, therefore, make a case for the need to decenter technology in engagements with algorithmic management to better account for workers’ experiences in discussions on the future of work.

The article examines the specific features of strategic management of healthcare institutions in Ukraine under conditions of healthcare system transformation, increased managerial responsibility, and growing external environmental instability. It substantiates that, unlike business organizations, healthcare institutions operate within a framework that combines a strong social mission, rigid regulatory constraints, limited competition, and a high dependence on public funding, which significantly reduces the effectiveness of traditional market-based management instruments. It is demonstrated that the reforms initiated after 2017, particularly the autonomization of healthcare institutions, the introduction of contracting with the National Health Service of Ukraine, and the development of the eHealth electronic system - have substantially altered the institutional environment of healthcare delivery, while failing to ensure an adequate level of strategic management capacity. The study reveals that a predominant focus on formal compliance and quantitative performance indicators has led to the dominance of short-term managerial decisions, thereby limiting attention to strategic objectives related to quality, patient safety, and long-term healthcare outcomes. The research further explores the challenges arising from the full-scale invasion by the aggressor state, which has intensified pressure on the healthcare system and heightened the need to ensure the operational resilience of healthcare institutions under crisis conditions. Based on an analysis of global management trends, the article identifies promising directions for the development of strategic management in Ukrainian healthcare institutions, including the implementation of multidimensional performance evaluation systems, data-driven management approaches, and the strengthening of managerial leadership. It is argued that the integration of national healthcare reforms with global best practices, while accounting for bifurcation processes as critical points of systemic development, contributes to enhanced adaptability, performance, and long-term resilience of healthcare institutions.

ABSTRACT How do dominant parties organize and sustain local political power in socially fragmented urban contexts? Drawing on a prosopographic analysis of 684 district municipal council members of the Justice and Development Party (AKP) elected in Istanbul in 2019, this study examines how local political authority and brokerage are structured through differential access to social, economic, and organizational resources. Using K-modes clustering of councilors’ civil society affiliations, the analysis identifies seven empirically distinct clusters that consolidate into three broader archetypes of local political elites: rural notables rooted in hometown networks, professionals embedded in business and occupational organizations, and ideological cadres emerging from educational, charitable, and Islamist organizations. These archetypes differ systematically in their social bases and organizational embeddedness, implying differentiated capacities for political mediation and representation at the district level. Supplementary analyzes of migrant representation, hometown association density, and gendered pathways into local office further show that political overrepresentation does not necessarily reflect grassroots organizational embeddedness and that women’s political advancement relies disproportionately on semi-public networks. By theorizing elite differentiation at the lowest level of elected office, the study advances debates on clientelism, local governance, and dominant-party resilience in Turkey and comparable settings.

In the pursuit of success, businesses must skillfully navigate the complexities of the modern business environment, where five key variables play crucial roles. This study explores the intricate relationships among culture, strategy, innovation, and digital transformation—four distinct, independent variables—and their overall and individual effects on business performance, using a comprehensive mixed-methods approach. The findings highlight that these factors are not only relevant in today’s market but also have the potential to exert an even greater impact by 2026. The study reveals that a strong organizational culture fosters innovation and strategic alignment, both of which are essential for effective digital transformation. By gaining a thorough understanding of these dynamics, organizations can uncover valuable insights to enhance performance and sustain a competitive edge. In a rapidly advancing technology-driven world, the strategic integration of these variables is essential for businesses aiming to lead in innovation and operational efficiency. This research highlights the need for organizations to remain agile and adaptable to ensure ongoing growth and success amid ever-changing environmental challenges. By aligning culture, strategy, and innovation with digital transformation efforts, companies can better navigate uncertainties and seize emerging opportunities.