Search results

This paper reports the collaborative achievements of transformative service researchers and nonprofit practitioners and their learning processes for refugee integration and social impact measurement. The purpose of the paper is to present the process of a cocreating a toolkit designed to help non-profit organizations (NPOs) measure and communicate the social impact of their initiatives. Collaboration with a UK-based NPO resulted in the development of a practical toolkit designed to identify and report social impacts that are typically challenging or difficult to measure.

Following a three-phase co-creative process model over two years, the project team began by co-defining impact metrics in partnership with an NPO specializing in personalized employment support, language and digital skills training and job search assistance for refugees. This led to the codesign of a social impact measurement strategy. The final phase involved coproducing a social impact reporting toolkit that offers comprehensive guidance to bridge existing gaps in measurement practices and empowers NPO employees to effectively measure and communicate social impact.

The study found that, although the NPO collected extensive data, its focus was primarily on individual-level economic outcomes, often overlooking broader social impact measurements. The cocreated toolkit addresses this oversight by providing resources for a holistic assessment.

The toolkit equips NPOs with a user-friendly resource for effectively measuring and communicating the social impact of their initiatives, supporting their operational and funding requirements.

By improving how social impact is measured and communicated, the toolkit can positively influence funding decisions and enhance the support available to refugees, thereby facilitating their integration into host societies.

This paper highlights two key contributions: (1) the development of a co-produced social impact reporting toolkit consisting of five modules and (2) the co-creation process itself. Through collaboration between the academic team and the NPO, the toolkit was designed to meet both theoretical standards and practical needs, tailored specifically for small to medium-sized NPOs, particularly those working in refugee integration.

This study aims to present a comprehensive review of the scientific literature on gig work and the social responsibility towards them; the study highlights the evolving nature of work, career and organisation, focussing on their social responsibility towards gig work.

A systematic review of 186 selected articles published since the beginning of the gig economy research. Quantitative bibliometric and framework-based review techniques were used to analyse theoretical nuances, themes, antecedents and contextual factors.

Factors responsible for the social responsibility towards gig work were identified. The factors were categorised into individual, organisational and social-related attributes. Overall, the contextual factors, top articles, authors and journals suggested that gig work research is increasing exponentially across the globe.

The understanding of the factors influencing the gig work explored, the long-term implications of disruptions or gig workers’ well-being and exploring the impact of social and cultural aspects of the gig work research.

To the best of the authors’ knowledge, this is one of the first studies to analyse the factors influencing social responsibility towards gig work in the changing nature of work, career and organisation. The study provides future directions for expanding the scholarship, resulting in the sustainability of this form of employment.

Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a people-focused and eco-friendly approach.

Need for the study: While Industry 4.0 set the foundation for digitization in healthcare, it frequently overlooked the human factor and concerns about sustainability. Industry 5.0 tackles these deficiencies by giving importance to human welfare, efficiency in resource usage, and societal consequences alongside technological progress.

Methodology: This research utilizes a survey of existing written works on Industry 5.0, AI in healthcare, and associated empowering technologies. It also leans on insights from recent investigations and business actions to pinpoint current patterns and future paths.

Findings: This chapter showcases how AI-driven solutions can greatly alter various facets of healthcare. Some of these healthcare facets encompass personalized medicine and treatment, intelligent diagnostics and decision support, robot-supported surgery and care, and enhanced availability and affordability.

Practical applications: This piece offers valuable perspectives for healthcare investors. These investors cover healthcare suppliers, technology creators, rule creators, and patients. By embracing the standards of Industry 5.0, the merging of AI into healthcare brings significant potential for crafting a more competent, sustainable, and people-centered healthcare network that benefits both patients and society as a complete unit. This research investigates the stance, viewpoints, and potential impacts of machine intelligence (MI) in health with an emphasis on Industry 5.0.

This paper aims to discuss a novel artificial intelligence (AI) model known as Generative Pretrained Transformer (GPT), specifically ChatGPT, and its potential applications in the corporate sphere. It highlights the significance of ChatGPT in the realms of corporate innovation, management and policymaking.

ChatGPT is explained as an AI language model produced by OpenAI, using the GPT framework and extensive training on natural language data. This paper addresses the model’s capabilities to respond to natural language queries resembling human interactions by reviewing the available literature as well as the professional websites.

This paper discusses the advantages of ChatGPT in a business context, emphasizing its potential benefits. It also critically examines the limitations of ChatGPT, including ethical considerations, data interpretation challenges, reliability and privacy-related issues.

This paper contributes to the discourse surrounding ChatGPT’s role in business innovation, management and policymaking. It highlights both the potential and limitations of this AI technology, offering insights into its implications and future research directions for corporate applications.

The field of medical technology is constantly evolving, leading to improvements in implantation techniques that offer innovative solutions for treating bone tissue defects. The purpose of this study is to investigate the integration of nano-silica into ceramic scaffolds to enhance the mechanical strength of Hydroxyapatite structures.

Using the design of experiment methodology, 13 distinct ceramic pastes, each optimized for specific mechanical characteristics, are formulated. Rheological testing is performed to ensure suitability for 3D printing, and the pastes are evaluated using techniques such as scanning electron microscopy and energy dispersive X-ray spectroscopy. The definitive screening design optimizer is used to determine an ideal material combination based on factors like extrudability, printability, strength and biocompatibility.

Scaffolds with the optimized HA/SiO₂ composition are fabricated and tested for compression strength, achieving 7.8 MPa.

The research endeavors detailed within this study represent a notable advancement in the augmentation of ceramic scaffold properties tailored for bone tissue engineering applications, particularly focusing on their suitability for integration within load-bearing structures. A particular emphasis is placed on the enhancement of printability, thereby facilitating streamlined fabrication processes.

This study aims to examine the combinations of internal and external knowledge flows between research and development (R&D) incumbents and start-ups in the context of open innovation. While there is a growing body of knowledge that has examined how, in a knowledge economy, a firm’s knowledge and innovation activities are closely linked, there is no systematic review available of the key antecedents, perspectives, phenomenon and outcomes of knowledge spillovers.

The authors have conducted dual-stage research. First, the authors conducted a systematic review of literature (97 research articles) by following the theories–contexts–methods framework and the antecedent-phenomenon-outcomes logic. The authors identified the key theories, contexts, methods, antecedents, phenomenon and outcomes of knowledge spillovers between R&D-driven incumbents and start-ups in the open innovation context. In the second stage, the findings of stage one were leveraged to advance a nomological network that depicts the strength of the relationship between the observable constructs that emerged from the review.

The findings demonstrate how knowledge spillovers can help incumbent organisations and start-ups to achieve improved innovation capabilities, R&D capacity, competitive advantage and the creation of knowledge ecosystems leading to improved firm performance. This study has important implications for practitioners and managers – it provides managers with important antecedents of knowledge spillover (knowledge capacities and knowledge types), which directly impact the R&D intensity and digitalisation driving open innovation. The emerging network showed that the antecedents of knowledge spillovers have a direct relationship with the creation of a knowledge ecosystem orchestrated by incumbents and that there is a very strong influence of knowledge capacities and knowledge types on the selection of external knowledge partners/sources.

This study has important implications for practitioners and managers. In particular, it provides managers with important antecedents of knowledge spillover (knowledge capacities and knowledge types), which directly impact the R&D intensity and digitalisation driving open innovation. This will enable managers to take important decisions about what knowledge capacities are required to achieve innovation outcomes. The findings suggest that managers of incumbent firms should be cautious when deciding to invest in knowledge sourcing from external partners. This choice may be driven by the absorptive capacity of the incumbent firm, market competition, protection of intellectual property and public policy supporting innovation and entrepreneurship.

Identification of the key antecedents, phenomenon and outcomes of knowledge spillovers between R&D-driven incumbents and start-ups in the open innovation context. The findings from Stage 1 helped us to advance a nomological network in Stage 2, which identifies the strength and influence of the various observable constructs (identified from the review) on each other. No prior study, to the best of the authors’ knowledge, has advanced a nomological network in the context of knowledge spillovers between R&D-driven incumbents and start-ups in the open innovation context.

This chapter discusses a survey of literature on efficiency, productivity and other issues related to pharmaceutical industry in India and across the globe. Econometric theoretical literature on technical efficiency (TE) as well as econometric theoretical literature on total factor productivity growth (TFPG) are discussed in separate sections. Individual sections discuss studies on the performance of the pharmaceutical industries in the Indian context, studies on the performance of the pharmaceutical industries in the international context, studies on the efficiency of Indian pharmaceutical industry (IPI), studies on the TFPG of the IPI, other studies on IPI and also studies on the performance of the pharmaceutical industries in the international context (other than India). This chapter discusses the existing study highlighting the gaps and presents the connection of the present study with the existing literature in the conclusion section.

The purpose of this paper is answering two research questions: What are the trajectories of persistence in exporting followed by different groups of firms? What factors relate to each trajectory of persistence in exporting? The authors propose and test a framework that links operational and marketing firms’ capabilities to different trajectories of persistence in exporting.

Using a dataset of 2,913 firms over 14 years from the annual manufacturing survey in Colombia (AMS), the authors explored the trajectories of persistence in exporting. The authors applied data envelopment analysis to measure operational and marketing capabilities and group-based trajectory modeling to discover and link such trajectories to firms’ capabilities.

The authors identified four trajectories of persistence in exporting. Also, the authors found that while the interplay between marketing and operational capabilities relates positively to the non-exporting trajectory and negatively to the persistent trajectory, operational capabilities relate positively to the erratic trajectory and negatively to the slow growth trajectory of persistence in exporting. Meanwhile, marketing capabilities do not relate to any trajectory.

Policymakers should help firms develop marketing and operational capabilities to compete globally to motivate them to export and persist in exporting. Policymakers should avoid stimulating firms to reinforce learned and familiar capabilities that cannot leverage desirable trajectories of persistence in exporting.

The authors introduce the trajectories of persistence in exporting, providing a fresh perspective for analyzing exporting behavior over time. The authors have also proposed and tested a unique framework that links operational and marketing firms’ capabilities to these trajectories, thus contributing to the existing body of knowledge on exporting behavior by firms from emerging markets.