Journal of Innovation & Knowledge最新文献

英文中文

Embracing Complexity in Smart City Services: A Case of Waste Management

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-25 DOI: 10.1016/j.jik.2025.100661

Rashmi Pavagada Subbanarasimha , Vinay Reddy Venumuddala , Amit Prakash , Bidisha Chaudhuri

Our study delves into understanding the bottom-up processes within a public service delivery system by studying the last-mile interactions between frontline workers, citizens, and other stakeholders. Specifically, we focus on these aspects in the context of the Solid Waste Management (SWM) system, and a proposed intervention under the Smart City Mission, in the city of Bengaluru, Karnataka. The paper aims to grasp the current functionality and structure of the SWM system, and the role of different actors and their interactions in sustaining it. We employ qualitative methods such as participant-observation-based ethnography, interviews, focus group discussions, and review of documents related to the intervention, to understand the inner workings of the system and the potential disruption from the intervention. We adopt a complex adaptive systems framework to analyze our findings and highlight a set of design requirements and principles that must be acknowledged and incorporated into the proposed intervention to ensure the resilience of the SWM system. We also present practical implications for Information System (IS) designers by recommending relevant design features for the Smart City Intervention (SCI), drawing upon the features of an existing digital public infrastructure whose architecture is underpinned by a similar set of design principles identified in our study. Additionally, we discuss pertinent policy implications in the context of effectively governing the SWM system alongside the intervention, building on the design implications.

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引用次数: 0

Key characteristics and role of lead users in medical device innovations: An exploratory study

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-24 DOI: 10.1016/j.jik.2025.100677

Béla Venesz, Tibor Dőry

Developing medical device innovations is a lengthy and costly endeavor, so engaging the right participants early in the process is crucial. While much of the existing literature focuses on procedural aspects of innovation, the human factors that influence success are often overlooked. The Lead User Method is designed to identify key contributors based on their ability to stay ahead of market trends and realize significant benefits. However, it has been criticized for inadequacies in its identification process. To address this gap, our study distinguishes seven key personal characteristics of medical lead users that are essential for successful co-created new product development. Through case studies and semi-structured interviews, we demonstrate that engaging lead users throughout the new product development process—regardless of product complexity—enhances product-market fit and profitability. Their involvement becomes increasingly critical as the process advances, particularly during the market diffusion phase. Our research refines the Lead User Method's identification process and provides actionable insights for decision-makers, reducing uncertainty in medical device innovation while lowering development costs and time and increasing product-market fit and profitability.

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引用次数: 0

Strategic and organisational factors for advancing knowledge in intelligent automation

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-22 DOI: 10.1016/j.jik.2025.100675

Mobashar Mubarik , Saule Maciukaite-Zviniene , Muhammad Faraz Mubarak , Morteza Ghobakhloo , Anna Pilkova

This study explores the determinants of intelligent automation implementation within organisations and their implications for strategic value and technological adoption. Grounded in diffusion of innovation theory, this study examines how digital competencies, technology absorptive capacity, and strategic value influence the adoption of intelligent automation. Using a quantitative approach, the findings reveal that digital competencies do not directly impact intelligent automation implementation, but exert an indirect influence through technology absorptive capacity and strategic value. Technology absorptive capacity emerges as a critical enabler facilitating the assimilation and application of the external knowledge necessary for intelligent automation integration, whereas strategic value plays a significant role in aligning intelligent automation adoption with organisational goals. These results emphasise the importance of absorptive and strategic capacities in bridging the gap between digital readiness and intelligent automation. This study highlights that successful intelligent automation adoption requires a multifaceted approach that integrates technological, organisational, and strategic considerations. Although intelligent automation offers substantial potential to improve operational efficiency and competitiveness, its adoption remains resource-intensive, necessitating investments in digital capabilities, training, and stakeholder engagement. This research also underscores the need for a human-centric approach to address employee concerns and align intelligent automation with broader organisational strategies. This study contributes to the literature on digital transformation and automation by providing empirical evidence of the determinants of intelligent automation implementation and their interplay. These findings offer insights for managers, policymakers, and researchers and pave the way for more effective and sustainable adoption strategies for intelligent automation. Future research should explore additional factors that influence the adoption of intelligent automation across diverse sectors and organisational contexts.

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引用次数: 0

Sustainable knowledge integration: Enhancing green development resilience

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-18 DOI: 10.1016/j.jik.2025.100671

Jingfeng Huang , Bai Yang , Bing Zhou , Bing Ran

The revised Environmental Protection law (NEPL), enacted in 2015, introduced stricter regulations to address environmental challenges and promote sustainable development. This study investigated the law's impact on enterprise green development resilience (EGDR) through a novel integration of institutional and resource-based theories. Employing the Vertical and Horizontal Slot-Drawing (VHSD) and entropy methods, we developed a comprehensive framework to systematically measure EGDR, capturing both dynamic and structural aspects of resilience. Our findings revealed that, from an institutional perspective, compliance with environmental laws enhances corporate legitimacy and fosters green development. Meanwhile, the resource-based view highlighted how NEPL improves EGDR by promoting green knowledge, stimulating green innovation, offering policy incentives, and easing financial constraints. Notably, the law's effectiveness varies across regions and technological contexts, underscoring significant heterogeneity. These findings uncovered previously unexplored mechanisms linking environmental law enforcement and enterprise resilience, providing actionable insights for policymakers to design more effective environmental strategies. This study contributes to sustainable development research by advancing the understanding of how regulatory frameworks shape green resilience, offering a new lens to examine the interplay between environmental governance and business sustainability.

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引用次数: 0

First impressions of digital pitches, innovation, and venture funding performance: An evolutionary psychology approach

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-17 DOI: 10.1016/j.jik.2025.100672

Joshua D. Maurer , Steven A. Creek , Thomas H. Allison , Joshua S. Bendickson , Arvin Sahaym

We draw from evolutionary psychology to predict that the immediate recognition of certain traits significantly impacts funding outcomes. Four such traits that are recognizable in potential entrepreneurs and play a role in funding decisions are: aggressiveness, attractiveness, competence, and trustworthiness. These initial impressions guide the behavior and decision-making processes of funders. We hypothesize that immediate trait assignments shape initial interpretations, lead to further investigation, and represent qualities that funders view positively or negatively when deciding which campaigns to back. These hypotheses are tested using the first ten seconds of entrepreneurial pitch videos in the crowdfunding context. Our results suggest that these evolutionary-driven traits play a crucial role in funder perception and crowdfunding success and, specifically, that entrepreneurs benefit from displaying aggressiveness and competence in pitches.

引用次数: 0

The role of green finance in attaining environmental sustainability within a country's ESG performance 绿色金融在一国环境、社会和公司治理绩效中实现环境可持续性方面的作用

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-17 DOI: 10.1016/j.jik.2025.100674

Aleksy Kwilinski , Oleksii Lyulyov , Tetyana Pimonenko

The ongoing issues that follow climate change require the implementation of relevant strategies and instruments to accelerate countries’ efforts toward environmental sustainability. Thus, the pursuit of environmental sustainability has become a global imperative as countries increasingly adopt measures to enhance their environmental, social, and governance (ESG) performance. Moreover, an effective system of financial support is needed. This paper aims to assess the impact of green finance on the environmental dimension of ESG performance in European Union (EU) countries from 2008 to 2020. The study applies the following methods: (1) a spatial Durbin model to examine the relationship between green finance and environmental performance within the EU context and (2) entropy methods to assess the environmental dimension of ESG performance. The findings reveal that green finance initiatives play a significant role in driving positive environmental outcomes within a country's ESG performance. By channeling financial resources toward environmentally friendly projects and businesses, green finance facilitates the transition to a low-carbon and resource-efficient economy. It enables the implementation of renewable energy projects, energy efficiency improvements, sustainable infrastructure development, and ecosystem preservation efforts. These initiatives contribute to reducing greenhouse gas emissions, mitigating climate change risks, conserving natural resources, and protecting biodiversity.

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引用次数: 0

Intelligent policy framework: Natural resource conservation, knowledge and big data analytics

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-15 DOI: 10.1016/j.jik.2025.100662

Nina Xiao, Xianhe Qu

In today's context of escalating environmental pressure, traditional methods of natural resource conservation face numerous challenges. The use of big data analytics to support the formulation of environmental policies has become a crucial approach for enhancing the efficiency and scientific basis of these policies. To enhance the reliability of the results, this study employed two algorithms: Bayesian inference and a weighted Support Vector Machine (SVM) algorithm based on the grey relational analysis. Bayesian inference constructs a conditional probability network to model and analyze complex relationships in a multi-factor environment, allowing for dynamic updates of the influences of various factors and providing precise evaluations of natural resource protection policies. This approach integrates prior information and observational data to ensure the continuity and accuracy of predictions. The weighted SVM algorithm based on grey relational analysis improves the accuracy of the predictive model by identifying key factors within multi-dimensional data and assigning appropriate weights to different features to address the challenges posed by incomplete or noisy data. By combining these two methods, this study effectively handled complex data and interactions while enhancing prediction accuracy, thereby providing reliable data support and a scientific basis for policy formulation and adjustment. The study revealed that these methods not only effectively predict and assess the impact of policies, but also provide policymakers with real-time data support, enabling more precise decision-making. Although shortcomings remain in data processing and policy prediction accuracy, the methods proposed in this study offer new ideas and tools for addressing these issues.

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引用次数: 0

International hidden entrepreneurs: Concealed partnerships in new venture formation in an emerging markets context

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-12 DOI: 10.1016/j.jik.2025.100669

Moayad Moharrak , Faisal AlReshaid , Kathleen Marshall Park , Ahmad R. Alsaber

This study examines the emergence of international hidden entrepreneurs (IHEs) in the Kingdom of Saudi Arabia through an institutional theory lens. An international hidden entrepreneur arises when local regulations impose high costs on an international entrepreneur operating as the legal head of an enterprise, therefore giving rise to a concealed partnership with a local entrepreneur to serve as the official managing director. The IHEs in our study typically originate from emerging market nations. Drawing on qualitative data from 44 participants, we examine the complexities of (1) mechanisms of IHE practices, (2) catalysts to the rise of IHEs, and (3) ethical and economic impacts of the presence of IHEs and their implications for the local economy. We establish the existence of IHEs as a still underexplored phenomenon and the advantages and disadvantages of the system in consonance with the cognitive, regulative, and normative pillars of institutional theory. Our findings reveal that IHEs arise as a response to stringent regulatory barriers, socio-cultural norms, and cognitive skill gaps. This study contributes to institutional theory by demonstrating how these pillars intersect in the Saudi context, offering novel insights into informal entrepreneurship and its challenges to Saudi Vision 2030.

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引用次数: 0

Harnessing digital foundations and artificial intelligence synergies: Unraveling the role of digital platforms, artificial intelligence, and strategic adaptability in organizational innovativeness

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-11 DOI: 10.1016/j.jik.2025.100670

Yi Lin , Zahid Yousaf , Adriana Grigorescu , Norina Popovici

This research investigated the relationships between digital platforms, artificial intelligence (AI) adoption, and organizational innovativeness, presenting e-knowledge and big data analytics capability as mediators and strategic flexibility as a moderator. The study posited that digital platforms significantly foster the development of e-knowledge and that AI adoption is closely associated with enhancing big data analytics capability. Additionally, it examined the direct effects of e-knowledge on organizational innovativeness and the pivotal role of big data analytics capability in shaping organizational innovativeness; the mediating effects of e-knowledge on the relationship between digital platforms and organizational innovativeness as well as the mediating role of big data analytics in the association between AI adoption and organizational innovativeness; and strategic flexibility role in strengthening the connection between digital platforms and organizational innovativeness and its influence on the relationship between AI adoption and big data analytics capability. To collect data, a questionnaire comprising 550 items was distributed to respondents from educational institutions. A structural equation modeling approach was employed to analyze the collected data. By addressing these constructs, the study provided a comprehensive model for understanding how digital platforms and AI adoption can drive organizational innovativeness through strategic data management and information analytics capabilities. The findings offer significant insights and actionable recommendations for experts and practitioners seeking to enhance organizational creativity within the digital landscape.

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引用次数: 0

Dynamic capabilities, preservation of socioemotional wealth, and family firm performance

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-02-10 DOI: 10.1016/j.jik.2025.100667

Felipe Hernández-Perlines , Luis Araya-Castillo , Mercedes Castro-Nuño

This study examines the performance of family businesses through the theoretical lenses of dynamic capabilities and socioemotional wealth. A conceptual model is proposed, in which socioemotional wealth moderates the relationship between dynamic capabilities and family firm performance. The research employs partial least squares structural equation modeling (PLS-SEM), a second-generation multivariate analysis technique, to analyze data and test hypotheses. The findings reveal that dynamic capabilities positively influence family firm performance, with innovation emerging as the most impactful dynamic capability. Additionally, socioemotional wealth not only directly enhances performance but also acts as a moderator, strengthening the relationship between dynamic capabilities and performance. This study makes two key contributions. First, it advances the understanding of how dynamic capabilities and socioemotional wealth shape family firm performance. Second, it underscores the pivotal role of socioemotional wealth in amplifying the effects of dynamic capabilities on performance. These insights have significant practical implications for family firms, emphasizing the importance of strategically managing both dynamic capabilities and socioemotional wealth to drive performance and ensure long-term sustainability.

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