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Different studies have analyzed the relationship between organizational learning and value creation. However, the question of how crowdsourcing affects the relationships between organizational learning and value creation remains unexplored. This paper aims to explore the mediating role of crowdsourcing in the relationship between organizational learning and value creation in local governance.

The hypotheses were tested based on data collected from 205 local governance units in Poland using crowdsourcing. Data collection was carried out by using a set of standardized questionnaires. Correlation analyses were used to specify the strength of the relationships between the variables. To test the hypotheses, multiple regression analysis was used.

The results have shown that in the local governance organizational learning is related to crowdsourcing, while organizational learning is not related to value creation. Crowdsourcing does not play a mediating role in explaining the relationship between organizational learning and value creation.

A research model was developed based on the relevant literature in the field of organizational learning, value creation and crowdsourcing. This study urges researchers to explore the relationship between organizational learning and value creation in other public organizations using crowdsourcing.

This is the first study on the intermediate role of crowdsourcing in the relationship between organizational learning and value creation in local governance. The proposed model enriches the existing literature and allows better understanding of how crowdsourcing acts as an intermediary in the organizational learning-value creation relationship.

The purpose of this paper is to analyze customers’ perceptions about brand personality in different cultural environments, checking if the archetypal framework of Mark and Pearson (2001) applies to different brands across countries.

The authors measured consumers’ perceptions in different cultural contexts through a survey, and received 537 valid questionnaires from Portugal, Brazil, Colombia and Peru, countries that have some similar indicators of cultural proximity. The authors wanted to verify if the words and sentences that respondents related to each brand were coherent with the archetype/brand, and the homogeneity of the results in different cultural contexts.

Empirical evidence shows that there is proximity between the literature review and the associations – words and sentences – that consumers from different countries make with those brands. This consistency of results is significantly higher for word associations.

Regardless of the results, the perceptions of consumers expressed through the selected words were often diverse and heterogeneous among countries. This could possibly indicate insufficient efforts from global brands toward a coherent brand personality/global-archetypal approach. Therefore, managing brand personality deserves more attention and marketers must understand consumer behavior patterns in different markets.

The purpose of this study is to validate multiplicative cycle that exists between the job readiness and satisfaction model explored by Matthews et al. (2018), the satisfaction and performance paradigmatic nuances analyzed by Judge et al. (2001) and Gu and Chi (2009), in addition to the expectancy model theorized by Vroom (1964). The motivation to transfer learning serves as a conveyable variable transmitted within a learning continuum that sustains cyclical outputs.

An archetype to explore the connection between the three hypothesized theories is created through a neural network program. Exploring this connection develops deeper understandings of the derivatives of employee motivation as it pertains to its effect on readiness, satisfaction, performance and achievement dyads. A detailed analysis of the literature leads to the hypothesis that the motivation to transfer learning creates a multiplicative effect among hypothesized relationships.

The neural network program scaffolds the proposed general belief that positive effects of transfer motives cause a cyclical effect that continues to perpetuate among hypothesized dyads. Conversely, if this motivation decreases or ceases among one or more dyads, the cyclical effect will retract and, eventually stop.

Based on the neurologic outcome, one central theme emerged: managers must offer opportunities to acquire knowledge through assistive mechanisms (i.e. training) by providing external stability through controlled channels that activates the motivation to transfer learning into new opportunities. The transference of this knowledge produces reconstructive growth opportunities through continuous learning thus increasing performance.

本研究的目的、除了驗證弗魯姆 (Vroom) (1964) 建立的「期望模型」理論外，也去驗證存在於工作準備就緒與馬修斯等人 (Matthews et al.) (2018) 所探索的滿足感模型之間的倍增週期，及質治等人 (Judge et al.) (2001) 和古與池 (Gu & Chi) (2009) 所分析的滿足感及表現之範式細微差別。學習轉移的動機作為一個被傳送至學習漸變體內的可輸送變量而運作，而這個學習漸變體是會維持週期性的輸出的。

透過神經網絡程序，創造一個用以探索這三個假設性理論之間的關係的原型。探究這些關係，會使我們更能深入了解僱員動機的衍生品，因這涉及僱員動機對準備就緒、滿足感、表現及功績二元體的影響。仔細分析文獻帶出了一個假設，就是: 學習轉移的動機會在各假設的關係裏創造一個倍增的效果。

這個神經網絡程序續步闡釋了一個被倡議的普遍觀念，那就是轉移動機的正面影響會帶來一個在假設性的二元體中會繼續持續下去的週期性效應。相反地，如果這動機在一個或多個二元體中減弱或停止，這週期性效應將會撤回及最終停止。

基於神經病學的結果，一個核心主題浮現了， 就是：管理人員必須提供透過輔助機制 (就是說：培訓) 而獲取知識的機會。方法是給會引發把學習轉為新機會的動機之受控渠道、提供外在穩定性。這知識的轉移，透過不斷學習而創造重建的成長，表現因而得以提升。

The study aimed to analyze the association between dynamic capabilities and sustainable business model innovation of startups in the Brazilian logistics sector.

A qualitative approach was used through a multiple case study that was operated from semi-structured interviews and secondary data analysis.

The evidence found pointed to different types of innovations in sustainable business models and distinct activities inherent to the three dynamic capabilities surveyed. In addition, the results confirmed that dynamic capabilities can be considered internal drivers that stimulate sustainable business model innovation, since the conception until the change or dissemination.

The diffusion of a model that jointly addresses the theory of dynamic capabilities and sustainable business model innovation.

For managers, the study provides insights into the archetypes of sustainable business model innovation and guidance on how to incorporate into the organization's strategic activities aimed at the different dynamic capabilities to achieve sustainable innovation.

Sustainable business model innovation is seen as a key factor for competitive advantage and corporate sustainability. However, a more comprehensive understanding is necessary for those that promote the design and innovation of sustainable business models. Therefore, the paper addresses this gap by (1) systematizing sustainable logistics initiatives, (2) detailing the processes that support the development of startups' sustainable dynamic capabilities and (3) proposing a framework that establishes connections between capabilities, business model innovation processes, business model archetypes and the environmental, social and economic impacts.

Crowdfunding (CF) is a digital-financial innovation that, bypassing credit crisis, bank system rigidities and constraints of the capital market, is allowing new ventures and established companies to get the needed funds to support innovations. After one decade of research, mainly focused on relations between variables and outcomes of the CF campaign, the literature shows methodological lacks about the study of its overall behavior. These reflect into a weak theoretical understanding and inconsistent managerial guidance, leading to a 27% success ratio of campaigns. To bridge this gap, this paper embraces a “complex system” perspective of the CF campaign, able to explore the system's behavior of a campaign over time, in light of its causal loop structure.

By adopting and following the document model building (DMB) methodology, a set of 26 variables and mutual causal relations modeled the system “Crowdfunding campaign” and a data set based on them and crafted to model the “Crowdfunding campaign” with a causal loop diagram. Finally, system archetypes have been used to link the causal loop structure with qualitative trends of CF's behavior (i.e. the raised capital over time).

The research brought to 26 variables making the system a “Crowdfunding campaign.” The variables influence each other, thus showing a set of feedback loops, whose structure determines the behavior of the CF campaign. The causal loop structure is traced back to three system archetypes, presiding the behavior in three stages of the campaign.

The value of this paper is both methodological and theoretical. First, the DMB methodology has been expanded and reinforced concerning previous applications; second, we carried out a causation analysis, unlike the common correlation analysis; further, we created a theoretical model of a “Crowdfunding Campaign” unlike the common empirical models built on CF platform's data.

The aim of this paper is to understand if service innovation (Helkkula et al., 2018), based on artificial intelligence (AI) systems, may guarantee healthcare service ecosystem (H-SES) well-being (Frow et al., 2019; Beirão et al., 2017), taking into account that many doubts relieved in terms of transparency may compromise the patients' perceived quality of health services provided through AI systems.

A literature review on service innovation, detected in terms of value co-creation, and service ecosystem, investigated in terms of well-being, is drawn. To analyze the implications of service innovation on a H-SES well-being, through the technology acceptance degree and predisposition to use by actors, a case study based on TAM-model 3 determinants as categories is carried out.

AI-based service innovation archetypes in healthcare may be considered as antecedents of the service ecosystem well-being conditions as long as they enable actors to co-create value. To make it possible, a patient-driven service innovation is necessary in order to mitigate the risks of its inactivity due to fears in terms of transparency.

Service innovation and service ecosystem well-being may be studied in an integrated way, with a multidisciplinary approach, and are linked by value co-creation, because only thanks a patient-driven service innovation is possible to foster service ecosystem well-being in healthcare.

Practitioners, despite competing in a difficult environment, struggle to understand or implement researchers’ findings that may support the development of sustainable competitive advantage. Following design science research using a gamification framework, the purpose of this study is to develop Game of Streams, a boundary object fostering practitioners’ capabilities to generate IT-dependent strategic initiatives. The Game of Streams method is available following a creative commons license and has two benefits for practitioners. First, it allows practitioners to ideate IT-dependent strategic initiatives with big data fitting their context. Second, it supports the understanding of a taxonomy originating in academic research about big data, precisely Digital Data Streams.

Through design science research methodology, the author investigates the research/practice gap. This study created with and for firms Game of Streams, a boundary object using gamification. The author tested this boundary object with different organizations from small- and medium-sized enterprises to multinationals and proved its effectiveness in generating IT-dependent strategic initiatives.

Game of Streams is enhancing practitioners’ use of research conclusions from academic literature. This study demonstrates that academic literature can impact practice better than before using boundary objects and gamification.

The gamification of research to bridge the research/practice gap is an emerging subject in the literature. This study offers an approach that allows practitioners to actively participate while manipulating research concepts in their context to generate IT-dependent strategic initiatives.

This article aims to understand the role of intermediaries that manage innovation challenges in the healthcare scenario. More specifically, it explores the role of digital platforms in addressing data challenges and fostering data-driven innovation in the health sector.

For exploring the role of platforms, the authors propose a theoretical model based on the platform’s dynamic capabilities, assuming that, because of their set of capabilities, platforms may trigger innovation practices in actor interactions. To corroborate the theoretical framework, the authors present a detailed in-depth case study analysis of Apheris, an innovative data-driven digital platform operating in the healthcare scenario.

The paper finds that the innovative data-driven digital platform can be used to revolutionize established practices in the health sector (a) accelerating research and innovation; (b) overcoming challenges related to healthcare data. The case study demonstrates how data and intellectual property sharing can be privacy-compliant and enable new capabilities.

The paper attempts to fill the gap between the use of the data-driven digital platform and the critical innovation practices in the healthcare industry.