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This paper explains the mechanisms underlying the generation of two-way knowledge spillovers through the interaction of subsidiaries with differentiated local responsibilities and domestic firms.

The study is based on firm-level panel data from a census of Colombian manufacturing firms for the period 2003–2012. The estimation procedure involves two stages. In the first one, total factor productivity (TFP) of foreign and domestic firms is estimated. In a second step, we estimate conventional spillovers (from foreign-owned to local firms) and reverse spillovers (from local to foreign-owned firms) separately, using a random effect approach.

This study’s findings reveal that only locally creative subsidiaries enjoy positive and significant two-way knowledge spillover effects. The connectivity of subsidiaries to local and international networks is reinforced by reciprocal relationships among actors that enhance bidirectional knowledge flows, these being favored by the dynamics of clustering effects.

The paper contributes with new empirical evidence about the mechanism explaining how the technological heterogeneity of subsidiaries plays a determinant role in the generation of both knowledge flows from foreign to domestic firms and to the reverse, all integrated into the same framework.

The purpose of this paper is to study the following two issues regarding blockchain crowdsourcing. First, to design smart contracts with lower consumption to meet the needs of blockchain crowdsourcing services and also need to design better interaction modes to further reduce the cost of blockchain crowdsourcing services. Second, to design an effective privacy protection mechanism to protect user privacy while still providing high-quality crowdsourcing services for location-sensitive multiskilled mobile space crowdsourcing scenarios and blockchain exposure issues.

This paper proposes a blockchain-based privacy-preserving crowdsourcing model for multiskill mobile spaces. The model in this paper uses the zero-knowledge proof method to make the requester believe that the user is within a certain location without the user providing specific location information, thereby protecting the user’s location information and other privacy. In addition, through off-chain calculation and on-chain verification methods, gas consumption is also optimized.

This study deployed the model on Ethereum for testing. This study found that the privacy protection is feasible and the gas optimization is obvious.

This study designed a mobile space crowdsourcing based on a zero-knowledge proof privacy protection mechanism and optimized gas consumption.

The study analyzed how the service-learning (SL) methodology can become a university social responsibility (USR) strategy that generates shared value for the university and its stakeholders.

This qualitative and exploratory–descriptive research had a nonexperimental field and cross-sectional design that used field techniques such as focus groups and in-depth interviews with the participants of the USR program “MIPyME vs COVID-19” in two Latin American countries.

This study revealed the perceptions of students who participated in the USR program on how a virtual service-learning (vSL) strategy related to the use of technology generates a positive impact on the development of shared learning between students and micro-entrepreneurs from a global and Latin American perspective, as well as for the internationalization of their study plans.

The field study was conducted in only two Latin American countries; however, the USR program has been implemented in eight universities from eight Latin American countries with very similar social, political and health contexts.

It is one of the first studies on SL used in a strategic and articulated way in universities with a USR approach. It analyzed traditional evaluations of this methodology, incorporating others such as virtuality (produced by the effects of the COVID-19), which led the authors to generate methodological innovations based on new ways of connecting, linking and generating shared learning and value for all.

We present configurational theorising as a novel approach to developing middle-range theory in two steps: (1) we illustrate configurational theorising as a new form of supply chain inquiry by connecting its philosophical assumptions with a methodological execution, and (2) we generate new insights underpinning a middle-range theory for supply chain resilience.

We synthesise information from a range of sources and invoke ‘critical realism” to suggest a five-phase configurational theorising roadmap to develop middle-range theory. We demonstrate this roadmap to explain supply chain resilience by analysing qualitative data from 22 organisations within the Australian food supply chain.

Coopetition and supply chain collaboration are necessary causal conditions, but they need to combine with either supply chain agility or multi-sourcing strategy to build supply chain resilience. Asymmetrical analyses showed that the simultaneous absence of supply chain collaboration, supply chain agility and multi-sourcing results in low supply chain resilience, but coopetition was indifferent to low supply chain resilience. Similarly, high supply chain resilience is possible with the non-presence of supply chain agility and multi-sourcing.

The configurational middle-range theorising roadmap presented and empirically tested in this paper constitutes a substantial advancement to both theory and the methodological domain.

This is the first attempt at developing a middle-range theory for supply chains by explicitly drawing on configurational theorising.

The main purpose of this study is to investigate the mediating role of innovation culture in the relationship between knowledge-based dynamic capabilities and innovation performance of small enterprises in Tanzania.

This study is cross-sectional and data collected through structured questionnaire were analyzed using PLS-SEM.

The findings revealed that dimensions of knowledge-based dynamic capabilities significantly influence innovation culture and innovation culture significantly influence the innovation performance. Finally, innovation culture is a significant mediator of the relationship.

The study contributes to the understanding that owners of small businesses must create conducive environments for the development of an innovation culture by improving knowledge acquisition, generation and combination for better innovation performance outcomes.

Studies done on innovation culture are limited especially in the context of developing countries such as Tanzania where adoption of innovative ideas is considered a slow process due to various factors such as poor management of knowledge resources. Therefore, this study contributes to the body of knowledge by establishing a link between knowledge-based dynamic capabilities and innovation performance through a mediation of innovation culture.

Achieving good sustainability performance requires balancing higher economic profits with better environmental and social performance. Knowledge plays a key role in improving corporate sustainability performance, but this knowledge is becoming increasingly complex, specific and dispersed among many scientific, technological and business actors. Science and technology parks (STPs) are infrastructures designed to host varying types of organizations that can bring together new, disruptive knowledge. Our purpose is to unveil how these spaces can be drivers of sustainability performance for companies.

We test our hypotheses on a longitudinal database of Spanish companies over the period 2009–2016 using structural equation models (SEMs).

This research confirms that a firm’s location in an STP helps improve its sustainability performance, provided that conditions are optimal in the STP. These optimal conditions are based on an abundance of knowledge spillovers available to the firm and the firm’s ability to harness them, especially those of a more disruptive nature, through absorptive capacity.

Results of this study yield implications for academia in the form of future lines of research and practical implications for policymakers and managers of both STPs and the organizations that host them.

若要取得良好的可持續發展績效，我們必須以更佳的環境和社會績效來平衡更高的經濟利潤。知識在改善企業的可持續發展績效上發揮關鍵作用; 但知識對很多科學的、技術性的和商業的參與者來說，變得越來越複雜、特殊和分散。科技園是為集合嶄新而帶有顛覆性知識的各種不同組織提供軟硬體支援而設計的基礎設施。本研究擬顯露這些設施和場地如何能為企業推動其永續發展績效。

我們以結構方程模式、去測試有關涵蓋2009年至2016年期間西班牙企業的縱向數據庫的研究假設。

研究結果確認了只要在科技園內有最優良的環境和條件，企業在園內的位置是有助改善其永續發展績效的。這些最優良環境和條件是基於企業可得到的豐富的知識外溢，以及它們可透過其吸收能力去控制知識外溢的能力，特別是那些具更強顛覆性本質的知識外溢。

研究結果為學術界就未來的研究領域提供了啟示; 研究結果亦為科技園和主辦機構的政策制定者和經理、提供了實務方面的啟示。

While previous research has demonstrated the positive effects of digital business strategies on operational efficiency, financial performance and value creation, little is known about how such strategies influence innovation performance. To address the gap, this paper aims to investigate the impact of a firm’s digital business strategy on its innovation performance.

Drawing on the dynamic capability view, this study examines the mechanism through which a digital business strategy affects innovation performance. Data were collected from 215 firms in China and analyzed using multiple regression and structural equation modeling.

The empirical analysis reveals that a firm’s digital business strategy has positive impacts on both product and process innovation performance. These impacts are partially mediated by knowledge-based dynamic capability. Additionally, a firm’s digital business strategy interacts positively with its entrepreneurial orientation in facilitating knowledge-based dynamic capability. Moreover, market turbulence enhances the strength of this interaction effect. Therefore, entrepreneurial-oriented firms operating in turbulent markets can benefit more from digital business strategies to enhance their knowledge-based dynamic capabilities and consequently improve their innovation performance.

This study contributes to the understanding of how a firm’s digital business strategy interacts with entrepreneurial orientation in turbulent markets to shape knowledge-based dynamic capability, which in turn enhances the firm’s innovation performance.

Urban digital transformation has become a key strategy in global countries. This study aims to provide a comprehensive and dynamic exploration of the intrinsic traits associated with urban digital transformation, in order to yield detailed insights that can contribute to the formulation of well-informed decisions and strategies in the field of urban development initiatives.

Through analysis of parallels between urban digital transformation and gyroscope motion in physics, the study developed the urban digital transformation gyroscope model (UDTGM), which comprises of seven core elements. With the balanced panel dataset from 268 cities at and above the prefecture level in China, we validate the dynamic mechanism of this model.

The findings of this study underscore that the collaboration among infrastructure development, knowledge-driven forces and economic operations markedly bolsters the urban digital transformation gyroscope’s efficacy.

This research introduces a groundbreaking framework for comprehending urban digital transformation, potentially facilitating its balanced and systemic practical implementation.

This study pioneers the UDTGM theoretically and verifies the dynamic mechanism of this model with real data.

This paper introduces a new approach to theorising and learning from Black, Asian and Minority Ethnic (BAME) women’s experiences of inequality in academia. It offers a versatile model with which the structure of a particular racist-sexist inequality regime can be theorised from empirical evidence.

The paper presents composite, fictionalised accounts of intersectional discrimination which are then analysed through critical realist frameworks, employing critical race feminist theory insights. This novel “whisper network” method centres the knowledge of BAME women in academia, and is translatable to other marginalised actors, offering a more protective means by which to access their knowledge as a foundation for organisational change.

Through theorising the ontological arrangement of key causal mechanisms responsible for the reproduction of inequality regimes, the paper illuminates links between micro-level intersectional discrimination and meso-level institutional inequality.

In order to preserve anonymity and reduce potential backlash, the vignettes in this paper are not intended to precisely capture specific empirical realities, but instead reflect wider patterns from the author's own whisper network knowledge. Nonetheless, the analytical method developed here could be applied to rigorously collected empirical data, with clear implications for improving organisational practice.

The paper offers a structured and systematic process by which qualitative data on institutional inequality can be analysed and stakeholders engaged to develop and propose solutions, even by individuals new to the field.

A methodical basis for strategic action addressing the issues revealed through such an analysis can be developed in order to galvanise and steer organisational change.

The novelty of the paper is twofold: in its original synthesis of critical realist depth ontology and ontological insights from critical race feminist theory about social structures of oppression, and in the development of the innovative “whisper network” method based upon a critical race theory counter-storytelling epistemology, in conversation with the emergent stream of literature within feminist organisation studies regarding the importance of “writing differently”.

This study aims to investigate organizational learning, represented by the absorptive capacity, as a condition for the firm to learn about marketing data and make more informed decisions. The authors also aimed to understand how the behavior of micro, small and medium enterprises (MSME) businesses differ in this scenario through a multilevel perspective.

Placing absorptive capacity as a mediator of the relationship between business analytics and rational marketing decisions, the authors analyzed data from 224 Brazilian retail companies using structural equation modeling estimated with partial least squares. To test the cross-level moderation effect, the authors also performed a multilevel analysis in RStudio.

The authors found a partial mediation of the absorptive capacity in the relation between business analytics and rational marketing decisions. The authors also discovered that, in the MSMEs firms’ group, even if smaller companies find it more difficult to use data, those that do may reap more benefits than larger ones. This is due to the influence of size in how firms handle information.

The sample size, despite having shown to be consistent and valid, is considered small for a multilevel study. This suggests that our multilevel results should be viewed as suggestive, rather than conclusive, and subjected to further validation.

Rather than solely positioning business analytics as a tool for decision support, the authors’ analysis highlights the importance for firms to develop the absorptive capacity to enable ongoing acquisition, exploration and management of knowledge.

MSMEs are of economic and social importance to most countries, especially developing ones. This research aimed to improve understanding of how this group of firms could transform knowledge into better decisions. The authors also highlight micro and small firms’ difficulties with the use of marketing data so that they can have more effective practices.

The research contributes to the understanding of organizational mechanisms to absorb and learn from the vast amount of current marketing information. Recognizing the relevance of MSMEs, a preliminary multilevel analysis was also conducted to comprehend differences within this group.