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Organizations increasingly use knowledge arbitrage to stimulate innovation and achieve competitive advantage. However, in knowledge management its use in startups is yet unexplored. This study aims to examine the utilization of knowledge arbitrage by startups, specifically during COVID-19.

This study employed an open-ended essay methodology to explore the drivers and barriers that startups face in utilizing knowledge arbitrage. We collected data from 40 participants to understand the role of knowledge arbitrage in startups’ knowledge management practices.

This study’s findings highlight the significance of knowledge arbitrage for startups. The benefits identified include organizational benefits such as building networks, innovating new products and achieving competitive advantage and financial benefits such as cost reduction and sales growth. The study also identifies several technological and organizational drivers and barriers that startups confront during knowledge arbitrage.

This study contributes to the existing literature on knowledge management by extending our understanding of knowledge arbitrage’s role in startups. Additionally, it sheds light on the importance of knowledge arbitrage for startups and the challenges they face, particularly in a disrupted environment reared by COVID-19. The study provides insights for the scholars and practitioners interested in effective knowledge management in startups.

This research aims to understand the primary challenges encountered by entrepreneurs operating in emerging economies, where entrepreneurship plays a vital role. The study places a particular emphasis on entrepreneurs in Brazil.

The research methodology involved the analysis of data obtained from interviews, using both content analysis and Grey Relational Analysis techniques.

The analysis revealed several prominent difficulties that entrepreneurs face in these domains. These challenges encompassed issues such as grappling with intricate taxation systems and the associated tax burden, navigating government bureaucracy, securing access to essential financing and initial investments, contending with the absence of supportive government programs and addressing the dynamic nature of market conditions. The findings on the most critical barriers reveal potential pathways for entrepreneurs, policymakers and universities to act in developing the entrepreneurial ecosystem in emerging economies.

The insights garnered from this research have the potential to inform the formulation of robust public policies aimed at fostering entrepreneurship and innovation in emerging countries. Furthermore, these findings can serve as a valuable resource for planning initiatives designed to train engineers to become successful entrepreneurs.

This study's purpose is to collate data on the existing Green Public Procurement (GPP) legal policies, frameworks and initiatives at the global level and, second, to identify the conditions required for implementing green procurement practices and programs in developing countries such as India. A structured literature review was conducted using the search terms ‘Green Public Procurement’, 'Policy’ and ‘India’. Reports, technical papers and articles in a language other than English were excluded from the search. Finally, 20 papers were shortlisted and reviewed. The study found that GPP has begun taking shape globally and necessitates capacity building at many levels, including knowledge sharing, sourcing resources, fiscal re-distribution and public awareness. National governments emerge as key players in facilitating sustainable procurement, while international bodies continue to develop prospective policy frameworks. However, GPP is at its nascency in India and will require significant pre-assessment and planning to standardize itself among big and medium enterprises. While GPP allows for environmental consciousness, its use in India also presents the potential for innovation and expanding the consumer market. Its establishment requires the government to implement a centralized body that directs GPP activity, incentivizes green technology and develops policies favouring multi-level collaboration. Further research can involve in-depth interviewing of key people in Public Procurement (PP) processes to gauge the preparedness and seriousness of the government to undertake green procurement and understand the inherent challenges in transitioning to more sustainable procurement modalities.

This paper aims to unravel how family businesses can harness the power of gamification and to illuminate the hurdles that obstruct this path to success. The research identifies these challenges providing valuable insights into the application of gamification in family businesses and the role of supervision and engagement as moderator variables in this relationship.

Using a structural modeling approach in a qualitative research methodology, the authors collected responses from n = 200 participants. The results were analyzed using Spearman’s test and multiple linear regression.

The research findings reveal that family businesses need to carefully redefine costs when introducing gamification, considering both fixed and variable expenses. The moderating effects of supervision are crucial for user evolution and the correlation, while user engagement influences user and useability experience. Additionally, a positive attitude enhances engagement. Finally, the five key challenges lead to difficulties when implementing gamification strategies.

This research provides valuable insights for the literature on gamification and family business and offers practical guidance for family business owners seeking to introduce a tailored value proposition adapted to their unique organizational needs and challenges.

A novel approach is proposed which, through the integration of gamification strategies with family business dynamics, explores the unique challenges and opportunities that arise within this context. By focusing specifically on family businesses, this study highlights how generational differences, ownership structures and cultural resistance can impact the successful implementation of gamification.

This paper aims to deepen the understanding of robust food supply chains (FSC) in SMEs by exploring and analyzing the literature through the lenses of digital technologies.

The study collected data from Scopus spanning from 2010 to 2024, employing selected keywords, and processed it using VOS-viewer and Biblioshiny to derive valid inferences and theoretical arguments.

The review paper identified several key themes shaping the future of supply chain management – Sustainability in SCM, Industry 4.0, Digitalization with FSCM, Circular Economy, Food Waste with Supply Chain, Food Security and Climate Change. These themes collectively bring transformative opportunities for both the adoption of digital technologies and sustainable practices in food supply chains.

The review found limitations are rooted in financial constraints, institutional barriers and expertise-related challenges encountered within the realm of Digitalization and FSC. Government and corporate houses should focus on these limitations as well as convert them to strengthen the SMEs of FSC.

The study stands out as a pioneering review that not only explores Digitalization in FSC but also explores the link and evidence of SMEs in the unorganized sector, providing unique insights into a previously underexplored area.

Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.

We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.

Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.

This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.

This study aims to explore information-seeking anxiety (ISA) among undergraduate, postgraduate and PhD students at Dr Babasaheb Sawant Konkan Krishi Vidyapeeth, located in Dapoli, Distt. Ratnagiri, Maharashtra. The research focuses on evaluating the intensity of ISA, understanding its underlying causes and identifying potential strategies to reduce its effects, particularly within the context of an agricultural university.

This research intends to examine Information seeking anxiety (ISA) among undergraduate, postgraduate and PhD students at Dr Babasaheb Sawant Konkan Krishi Vidyapeeth located in Dapoli District, Ratnagiri, Maharashtra. This research intends to examine and investigate the intensity of ISA among students at an agriculture university, its root causes and possible methods to reduce its effects. The research adopts quantitative surveys with qualitative secondary sources to achieve a comprehensive understanding of ISA among students. A standardized scale was used as the primary data collection tool to assess participants’ levels of ISA. A total of 122 students participated in the study, completing the survey and providing valuable data for analysis.

The findings reveal a range of ISA levels among students, indicating the presence of varied information skills and abilities. This underscores the need for well-structured information literacy programs tailored to address these disparities. A significant gender-based difference in ISA was observed, with female students exhibiting lower anxiety levels in relation to “integrated elements 3” at a significance level of .05 (t = 1.327). Interestingly, the study found that the students' rural or urban backgrounds did not significantly impact their ISA levels. Additionally, various integrated elements within the information seeking anxiety scale were found to be interconnected, contributing to the overall anxiety experienced by students.

The study highlights the importance of designing and implementing targeted interventions to address ISA in academic settings. These findings suggest that tailored information literacy programs could be effective in reducing ISA among students. Future research could build on these results by examining ISA across different disciplines and institutions, thereby contributing to the development of broader, more generalized strategies for mitigating ISA in diverse educational contexts. Individuals may not accurately recall or report their anxiety levels, potentially affecting the study’s findings. This study’s findings may not be generalizable to all agriculture university users due to factors such as the specific university setting, student demographics and agricultural disciplines represented.

This study provides actionable insights for academic institutions, particularly agricultural universities, in developing targeted information literacy programs. These programs can be designed to address varying levels of ISA among students, enhancing their ability to effectively seek and use information. Additionally, understanding the gender differences in ISA can guide the creation of more inclusive resources and support systems, ultimately improving the overall academic experience and reducing anxiety-related barriers to learning.

The research highlights the broader societal impact of ISA, particularly how it can affect students’ academic success and overall well-being. By addressing ISA through tailored interventions, institutions can contribute to reducing educational inequalities, especially in rural and underrepresented communities. This can foster a more equitable learning environment where all students, regardless of their background, have the opportunity to thrive academically and socially.

This study contributes to the relatively underexplored area of ISA within the context of agricultural universities. By combining quantitative and qualitative approaches, the research offers a comprehensive understanding of ISA, its causes and potential solutions. The findings provide new insights into how gender and integrated elements of ISA influence anxiety levels, offering valuable contributions to the field of library and information science, particularly in specialized educational settings like agricultural universities.

The purpose of this study is to describe latent classes explaining the innovation logic in the Finnish construction companies. Innovativeness is a driver of competitive performance and vital to the long-term success of any organisation and company.

Using finite mixture structural equation modelling (FMSEM), the authors have classified innovation logic into latent classes. The method analyses and recognises classes for companies that have similar logic in innovation activities based on the collected data.

Through FMSEM analysis, the authors have identified three latent classes that explain the innovation logic in the Finnish construction companies – LC1: the internal innovators; LC2: the non-innovation-oriented introverts; and LC3: the innovation-oriented extroverts. These three latent classes clearly capture the perceptions within the industry as well as the different characteristics and variables.

The presented latent classes explain innovation logic but is limited to analysing Finnish companies. Also, the research is quantitative by nature and does not increase the understanding in the same manner as qualitative research might capture on more specific aspects.

This paper presents starting points for construction industry companies to intensify innovation activities. It may also indicate more fundamental changes for the structure of construction industry organisations, especially by enabling innovation friendly culture.

This study describes innovation logic in Finnish construction companies through three models (LC1–LC3) by using quantitative data analysed with the FMSEM method. The fundamental innovation challenges in the Finnish construction companies are clarified via the identified latent classes.

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 study aims to explore and segment consumer preferences for electric and hybrid vehicles in Germany, Sweden, the Netherlands and Turkey, focusing on understanding the various factors that influence consumer decisions in these markets.

Using latent class analysis (LCA) on data collected through online surveys and discrete choice experiments, this research categorizes consumers into distinct segments. The approach allows for a nuanced understanding of how various factors such as income level, fuel cost, age, CO₂ emissions, purchase price, vehicle range, policy policies and environmental concerns interact with shape consumer preferences.

The analysis uncovers significant heterogeneity in consumer preferences for electric and hybrid vehicles across Germany, Sweden, the Netherlands and Turkey, revealing four key segments: “Eco-Driven Innovators,” “Value-Focused Pragmatists,” “Tech-Savvy Early Adopters” and “Reluctant Traditionalists.” “Eco-Driven Innovators” prioritize environmental benefits and are less sensitive to price, demonstrating a strong inclination toward vehicle CO₂ emissions and policy policies. “Value-Focused Pragmatists” weigh economic factors heavily, showing a sharp interest in fuel costs and purchase prices but are open to considering electric and hybrid vehicles if they present clear long-term savings. Technology-savvy early adopters are attracted by the latest technological advancements in vehicles, regardless of the type, and are motivated by factors beyond just environmental concerns or cost savings. Lastly, “Reluctant Traditionalists” exhibit minimal interest in electric and hybrid vehicles due to concerns over charging infrastructure and upfront costs. This detailed segmentation illustrates the diverse motivations and barriers influencing consumer choices, from governmental policies and environmental concerns to individual financial considerations and technological appeal.

This study stands out for its pioneering application of LCA to dissect the complexity of consumer preferences for electric and hybrid vehicles, a methodological approach not widely used in this research domain. Using LCA, the authors are able to uncover nuanced consumer segments, each with distinct preferences and motivations, providing a depth of insight into market dynamics that traditional analysis methods may overlook. This approach enables a more granular understanding of how diverse factors – ranging from environmental concerns to economic considerations and technological attributes – interact to shape consumer choices in different countries. The findings not only fill a critical gap in the existing literature by mapping the intricate landscape of consumer preferences, but also offer a novel perspective on strategizing market interventions. Therefore, the application of LCA enriches the discourse on sustainable transportation, offering stakeholders, manufacturers, policymakers and researchers – a refined toolkit for navigating the evolving market dynamics and fostering the adoption of electric and hybrid vehicles.