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How do two facets of social media interaction shape waste sorting behaviour? Empirical evidence from Beijing, China 社交媒体互动的两个方面如何影响垃圾分类行为?来自中国北京的经验证据
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-31 DOI: 10.1016/j.techfore.2024.123850
Myat Su Han , Yiwen Zhang , Cinnie Liu
In the ever-changing digital era, social media has become a powerful tool for shaping public environmental awareness and pro-environmental behaviour. However, no existing studies have addressed the double-edged role of social media interaction in the context of household waste sorting, particularly in a rapidly developing country with considerable waste management challenges. Against this background, our study aims to investigate the positive and negative impacts of two facets of social media interaction (i.e. online peer influence and perceived information overload) on household waste sorting behaviour in China. Moreover, we investigate the mechanisms behind these impacts by analysing the moderating roles of psychological enablers (i.e. green self-efficacy) and barriers (i.e. environmental apathy). Drawing upon social learning theory, we develop a conceptual model that is empirically tested using 1200 online survey responses from Beijing, one of the most populous cities in China. We then employ a two-stage data analysis technique comprising confirmatory factor analysis and moderated multiple regression analysis to examine the proposed hypotheses. The findings of this pioneering study can assist policymakers and environmentalists in designing successful social intervention strategies that may encourage household waste sorting in large metropolitan regions, such as Beijing.
在日新月异的数字时代,社交媒体已成为塑造公众环境意识和环保行为的有力工具。然而,目前还没有研究探讨过社交媒体互动在家庭垃圾分类中的双刃作用,尤其是在一个面临巨大垃圾管理挑战的快速发展国家。在此背景下,我们的研究旨在调查社交媒体互动的两个方面(即网络同伴影响和感知信息超载)对中国家庭垃圾分类行为的积极和消极影响。此外,我们还通过分析心理促进因素(即绿色自我效能感)和障碍因素(即环境冷漠)的调节作用,研究了这些影响背后的机制。借鉴社会学习理论,我们建立了一个概念模型,并利用来自北京(中国人口最多的城市之一)的 1200 份在线调查问卷对该模型进行了实证检验。然后,我们采用两阶段数据分析技术,包括确证因子分析和调节多元回归分析,对提出的假设进行检验。这项开创性研究的结果可以帮助政策制定者和环保人士设计成功的社会干预策略,从而鼓励像北京这样的大都市地区进行家庭垃圾分类。
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引用次数: 0
Loyal to the concept or to the platform? The complexity of the dual loyalty of crowdfunding backers 忠于概念还是忠于平台?众筹支持者双重忠诚的复杂性
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-31 DOI: 10.1016/j.techfore.2024.123854
Kalanit Efrat , Shaked Gilboa , Andreas Wald
Backer loyalty is an important, yet under-researched driver of crowdfunding success. The concept of loyalty in crowdfunding is particularly complex because it integrates both loyalty to crowdfunding activity and loyalty to a specific platform. Using the elaboration likelihood model (ELM) as a theoretical foundation, this study investigates how platform-related factors influence backers' distinct loyalties. A survey of 486 active crowdfunding backers with different levels of repeated activity was conducted. The findings indicate that the different loyalties of backers—platform and crowdfunding—can be explained by the central and peripheral routes of the ELM. The central route effect is more significant for loyalty to the platform, whereas loyalty to crowdfunding is influenced by elements from both the central and peripheral routes. These insights allow platform managers to promote their platforms' activity by facilitating the relevant elements.
支持者的忠诚度是众筹成功的一个重要驱动因素,但对其研究不足。众筹中的忠诚度概念尤为复杂,因为它既包括对众筹活动的忠诚度,也包括对特定平台的忠诚度。本研究以阐述可能性模型(ELM)为理论基础,探讨了与平台相关的因素如何影响支持者的独特忠诚度。本研究对 486 名具有不同重复活动水平的活跃众筹支持者进行了调查。研究结果表明,支持者对平台和众筹的不同忠诚度可以用 ELM 的中心路径和外围路径来解释。中心路径效应对平台的忠诚度更为显著,而对众筹的忠诚度则受到中心路径和外围路径的影响。这些见解使平台管理者能够通过促进相关要素来推动平台活动。
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引用次数: 0
The relationship of digital transformation and corporate sustainability: Synergies and tensions 数字化转型与企业可持续发展的关系:协同效应与紧张关系
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-30 DOI: 10.1016/j.techfore.2024.123809
Roxana Ologeanu-Taddei , Sarah Hönigsberg , Pauline Weritz , Hendrik Wache , Ferdinand Mittermeier , Silviana Tana , Duong Dang , Tuire Hautala-Kankaanpää , Samuli Pekkola
Scholars within management disciplines have shown a growing interest in digital transformation and sustainability phenomena to address global societal challenges. Indeed, previous studies have investigated the initial analysis of the intersection between these two emerging and intertwined topics. However, there has been no comprehensive or critical analysis of the relationships among these concepts. Nevertheless, a clear understanding of this phenomenon is key to developing rigorous and meaningful knowledge and enabling future research. Our critical review analyses 91 articles on digital transformation and sustainability research to address this issue. The findings propose a synthesis of the definition types of digital transformation and sustainability in four categories, from which only 16 articles show a relationship between both concepts. This study theoretically contributes to management research by uncovering issues and assumptions around the conceptualizations of digital transformation and sustainability at the corporate level. By doing so, we present a consolidation of conceived knowledge and clarify these interrelated concepts. Moreover, understanding and assessing these relationships will lead to a future research agenda and implications for practitioners.
管理学科的学者们对数字化转型和可持续发展现象越来越感兴趣,以应对全球社会挑战。事实上,以往的研究已经对这两个新兴且相互交织的主题之间的交叉点进行了初步分析。但是,还没有对这些概念之间的关系进行全面或批判性的分析。然而,对这一现象的清晰认识是发展严谨而有意义的知识并促进未来研究的关键。我们的评论性综述分析了 91 篇关于数字化转型和可持续性研究的文章,以解决这一问题。研究结果将数字化转型和可持续发展的定义类型归纳为四个类别,其中只有 16 篇文章显示了这两个概念之间的关系。本研究通过揭示企业层面数字化转型和可持续发展概念的相关问题和假设,从理论上为管理研究做出了贡献。通过这样做,我们对构想的知识进行了整合,并澄清了这些相互关联的概念。此外,了解和评估这些关系将有助于制定未来的研究议程,并对从业人员产生影响。
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引用次数: 0
Forecasting Cyber Threats and Pertinent Mitigation Technologies 预测网络威胁和相关缓解技术
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-30 DOI: 10.1016/j.techfore.2024.123836
Zaid Almahmoud , Paul D. Yoo , Ernesto Damiani , Kim-Kwang Raymond Choo , Chan Yeob Yeun
Geopolitical instability is exacerbating the risk of catastrophic cyber-attacks striking where defences are weak. Nevertheless, cyber-attack trend forecasting predominantly relies on human expertise, which is susceptible to subjectivity and potential bias. As a solution, we have recently presented a novel study that harnesses machine learning for long-term cyber-attack forecasting. Building upon this groundwork, our research advances to the next level, by predicting the disparity between cyber-attack trends and the trend of the relevant alleviation technologies. The proposed approach applies key constructs of Protection Motivation Theory while introducing a proactive version of the theory. Our predictive analysis aims to offer strategic insights for the decision of investment in cyber security technologies. It also provides a sound foundation for the strategic decisions of national defence agencies. To achieve this objective, we have expanded our dataset, which now encompasses records spanning 42 distinct cyber-attack types and various related features, alongside data concerning the trends of 98 pertinent technologies, dating back to 2011. The dataset features were meticulously curated from diverse sources, including news articles, blogs, government advisories, as well as from platforms such as Elsevier, Twitter, and Python APIs. With our comprehensive dataset in place, we construct a graph that elucidates the intricate interplay between cyber threats and the development of pertinent alleviation technologies. To forecast the graph, we introduce a novel Bayesian adaptation of a recently proposed graph neural network model, which effectively captures and predicts these trends. We further demonstrate the efficacy of our proposed features in this context. Furthermore, our study extends its horizon by generating future data projections for the next three years, encompassing forecasts for the evolving graph, including predictions of the gap between cyber-attack trends and the trend of the associated technologies. As a consequential outcome of our forecasting efforts, we introduce the concept of “alleviation technologies cycle”, delineating the key phases in the life cycle of 98 technologies. These findings serve as a foundational resource, offering valuable guidance for future investment and strategic defence decisions within the realm of cyber security related technologies.
地缘政治的不稳定加剧了防御薄弱地区遭受灾难性网络攻击的风险。然而,网络攻击趋势预测主要依赖于人类的专业知识,这很容易受到主观性和潜在偏见的影响。作为解决方案,我们最近提出了一项新颖的研究,利用机器学习进行长期网络攻击预测。在此基础上,我们的研究更上一层楼,预测了网络攻击趋势与相关缓解技术趋势之间的差异。所提出的方法应用了保护动机理论的关键结构,同时引入了该理论的主动版本。我们的预测分析旨在为网络安全技术投资决策提供战略性见解。它还为国防机构的战略决策提供了坚实的基础。为了实现这一目标,我们扩展了数据集,现在包含了 42 种不同的网络攻击类型和各种相关特征的记录,以及 98 种相关技术的趋势数据,可追溯到 2011 年。数据集的特征是从各种来源精心整理而来,包括新闻文章、博客、政府建议,以及爱思唯尔、Twitter 和 Python API 等平台。利用我们的综合数据集,我们构建了一个图表,阐明了网络威胁与相关减缓技术发展之间错综复杂的相互作用。为了预测该图,我们对最近提出的图神经网络模型进行了新颖的贝叶斯调整,从而有效地捕捉和预测了这些趋势。在此背景下,我们进一步证明了我们提出的特征的有效性。此外,我们的研究还扩展了视野,生成了未来三年的数据预测,其中包括对不断变化的图谱的预测,包括对网络攻击趋势与相关技术趋势之间差距的预测。作为预测工作的一项重要成果,我们提出了 "缓解技术周期 "的概念,划分了 98 种技术生命周期的关键阶段。这些发现可作为基础资源,为网络安全相关技术领域的未来投资和战略防御决策提供宝贵指导。
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引用次数: 0
Digital transformation of enterprises promotes green technology innovation – The regulated mediation model 企业数字化转型促进绿色技术创新 - 规范调解模式
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-30 DOI: 10.1016/j.techfore.2024.123812
Baoyi Wang , Inayat Khan , Chenlu Ge , Huma Naz
This paper empirically investigates the impact of digital transformation on green technology innovation against the background of China's 14th Five-Year Plan and dual‑carbon targets in Shanghai and Shenzhen stock exchanges from 2008 to 2021. It is found that (1) enterprise digital transformation significantly promotes green technology innovation. (2) financing constraints play a partial mediating role in the effect of digital transformation on green technology innovation. (3) economic policy uncertainty can regulate the direct effect of digital transformation on green technological innovation, and can also regulate the first half of the path of the mediating effect, that is, the stronger the economic policy uncertainty faced by enterprises, the more significant the effect of digital transformation empowering green technology innovation, and the more obvious the effect on alleviating the financing constraints of enterprises. (4) Further research finds that digitalization empowers green technological innovation more significantly in state-owned enterprises, industries with a high degree of competition and enterprises in the eastern region. Government subsidies significantly outperform equity and debt financing in promoting green technology innovation. The impact of green technology innovation on carbon emissions is U-shaped. The above findings suggest that the government should provide incentives and increase number of subsidies to encourage enterprises to carry out digital transformation to promote green technology innovation, and also reveal that enterprises should actively respond to digital policies and focus on the integration of digitalization and greening.
本文以中国 "十四五 "规划和 2008-2021 年沪深证券交易所双碳目标为背景,实证研究了数字化转型对绿色技术创新的影响。研究发现:(1)企业数字化转型显著促进绿色技术创新。(2)融资约束在数字化转型对绿色技术创新的影响中起部分中介作用。(3)经济政策不确定性可以调节数字化转型对绿色技术创新的直接效应,也可以调节中介效应的前半部分路径,即企业面临的经济政策不确定性越强,数字化转型赋能绿色技术创新的效果越明显,对缓解企业融资约束的效果越明显。(4)进一步研究发现,数字化赋能绿色技术创新在国有企业、竞争程度较高的行业和东部地区企业的效果更为显著。政府补贴对绿色技术创新的促进作用明显优于股权和债权融资。绿色技术创新对碳排放的影响呈 U 型。上述研究结果表明,政府应采取激励措施,增加补贴数量,鼓励企业进行数字化转型,促进绿色技术创新,同时也揭示了企业应积极响应数字化政策,注重数字化与绿色化的融合。
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引用次数: 0
Does resource orchestration theory ensure the better SME performance: A three-wave time lag investigation among manufacturing SMEs of the developing economies 资源协调理论能否确保中小企业取得更好的业绩?对发展中经济体制造业中小企业的三波时滞调查
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-30 DOI: 10.1016/j.techfore.2024.123807
Sheema Matloob , Ali Raza , Ali Waqas , Mohammad Jamal Khan , Nabeel Nisar
In the contemporary business landscape, changes in business practices, including technological advancements, increasing competition, and rapidly changing customer preferences, pose challenges for SMEs to survive. These rapid changes stressed that SMEs change and adopt strategies to mitigate the declining performance. Therefore, this study aims to examine the influence of financial capital availability (FCA) and entrepreneurial competencies (EC) to predict SMEs' performance with the intervention of strategic change (SC). The study used Resource Orchestration Theory (ROT) as an underpinning theory. Based on the quantitative research design, the research collected data through a three-wave time lag investigation among manufacturing SMEs from various cities of two provinces of Pakistan, namely Punjab and Sindh provinces. The research used SPSS 21 and Smart PLS 4 to analyze 203 usable responses from the manufacturing SMEs. The findings show that FCA and EC significantly influence the SMEs' performance. Further, SC also significantly mediated the relationship of FCA and EC with SMEs' performance. This study underscores the consideration of key FCA, EC, and SC strategies to improve SMEs' performance among emerging countries. Further, this study extends the theoretical knowledge while utilizing ROT as a more nuanced perspective among the complex relationships of this study's variables. This study outlines practical implications that are critical determinants for improving SMEs' performance.
在当代商业环境中,商业实践的变化,包括技术进步、日益激烈的竞争和快速变化的客户偏好,给中小企业的生存带来了挑战。这些快速变化要求中小企业改变并采取战略,以缓解业绩下滑的问题。因此,本研究旨在探讨在战略变革(SC)的干预下,金融资本可用性(FCA)和创业能力(EC)对预测中小企业绩效的影响。研究采用资源协调理论(ROT)作为支撑理论。在定量研究设计的基础上,研究通过对巴基斯坦旁遮普省和信德省两个省不同城市的制造业中小企业进行三波时滞调查来收集数据。研究使用 SPSS 21 和 Smart PLS 4 分析了来自制造业中小企业的 203 份可用回复。研究结果表明,FCA 和 EC 对中小企业的绩效有显著影响。此外,SC 还对 FCA 和 EC 与中小型企业绩效之间的关系起到了重要的中介作用。本研究强调了在新兴国家中提高中小企业绩效的关键 FCA、EC 和 SC 战略的重要性。此外,本研究还扩展了理论知识,同时利用 ROT 作为本研究变量复杂关系中更细致的视角。本研究概述了对提高中小企业绩效至关重要的决定因素的实际意义。
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引用次数: 0
Grounded theory modeling based on multisource evidence fusion 基于多源证据融合的基础理论建模
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-30 DOI: 10.1016/j.techfore.2024.123826
Yuan-Wei Du , Yi-Pin Fan , Jiao-Jiao Zhong
Grounded theory, a mainstream qualitative research method in the social sciences, is challenged by ambiguity in the theory construction phase. Drawing on the Dempster–Shafer theory, this study establishes a new method: grounded theory modeling with multisource evidence fusion (MEF-GT). By incorporating the objectivity and precision of quantitative analysis into the qualitative analysis of grounded theory, MEF-GT enhances the trustworthiness and reliability of the constructed theory. In MEF-GT, after completing the coding phase, relationship functions are constructed between initial concepts based on the evidence extracted from the data. By assigning weights to each piece of evidence and assessing the reliability of their sources, relationships are fused layer by layer following the generalized combination rule until a quantified relationship function between categories is formed. In addition, more intuitive and expressive theoretical frameworks can be constructed based on category portfolios with different relational strengths. Finally, we demonstrate the practicality and effectiveness of the method using a case study of the ecological development practices of marine ranching enterprises.
基础理论是社会科学领域的一种主流定性研究方法,但在理论构建阶段却面临着模糊性的挑战。本研究借鉴 Dempster-Shafer 理论,建立了一种新方法:多源证据融合基础理论模型(MEF-GT)。通过将定量分析的客观性和精确性融入到基础理论的定性分析中,MEF-GT 提高了所构建理论的可信度和可靠性。在 MEF-GT 中,完成编码阶段后,根据从数据中提取的证据在初始概念之间构建关系函数。通过为每个证据分配权重并评估其来源的可靠性,按照广义组合规则逐层融合关系,直至形成类别之间的量化关系函数。此外,还可以根据具有不同关系强度的类别组合来构建更直观、更有表现力的理论框架。最后,我们通过对海洋牧场企业生态发展实践的案例研究,证明了该方法的实用性和有效性。
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引用次数: 0
Digital technology-enabled carbon-neutral management: A mechanism of supply chain digitalization in carbon performance 数字技术驱动的碳中和管理:供应链数字化在碳绩效中的作用机制
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-30 DOI: 10.1016/j.techfore.2024.123834
Lixu Li , Wenwen Zhu , Long Wei , Yaoqi Liu , Nan Jiang
A global industrial revolution is underway, marked by the pursuit of carbon neutrality and the widespread adoption of advanced digital technologies (DTs). However, existing studies focus on strategies and approaches to mitigate carbon emissions within individual firms, with limited emphasis on reducing carbon emissions throughout the supply chain (SC). To fill this gap, we investigate how SC digitalization influences SC carbon performance through the lens of the natural resource-based view (NRBV). Employing hierarchical regression analysis and the bootstrap method on survey data from 245 Chinese firms across various industries, we reveal that SC ecocentricity is a crucial mediator in linking the SC digitalization‑carbon performance association. Additionally, of the two SC governance modes, contractual governance, as opposed to relational governance, significantly mediates the SC digitalization‑carbon performance association. Most interestingly, we confirm the serial mediation effect involving SC ecocentricity and contractual governance. We enhance the current sustainability research by identifying influential factors in the effectiveness of SC digitalization within the context of carbon neutrality. We also provide practical insights for firms in effectively implementing DT-enabled carbon-neutral management.
以追求碳中和和广泛采用先进数字技术(DTs)为标志的全球工业革命正在进行。然而,现有研究主要关注单个企业内部减少碳排放的战略和方法,对整个供应链(SC)减少碳排放的重视程度有限。为了填补这一空白,我们通过基于自然资源的视角(NRBV)来研究供应链数字化如何影响供应链碳绩效。通过对来自 245 家不同行业的中国企业的调查数据进行分层回归分析和自举法,我们发现供应链生态中心化是供应链数字化与碳绩效关联的关键中介。此外,在两种企业生态中心治理模式中,契约治理相对于关系治理对企业生态中心数字化-碳绩效关联有显著的中介作用。最有趣的是,我们证实了涉及 SC 生态中心和契约治理的序列中介效应。我们通过确定碳中和背景下 SC 数字化有效性的影响因素,加强了当前的可持续发展研究。我们还为企业有效实施由 DT 支持的碳中性管理提供了实用见解。
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引用次数: 0
Deciphering the determinants: What guides creators in choosing their metaverse platforms? 解读决定因素:是什么引导创作者选择他们的元宇宙平台?
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-30 DOI: 10.1016/j.techfore.2024.123843
Yoonhyuk Jung , Jinyoung Nam , Hanbyul Choi , Jonghwa Park
This study aims to investigate which factors influence third-party developers' choice of metaverse platforms. As the metaverse has garnered considerable attention, many metaverse platforms have explosively launched. The intensified competition among metaverse platforms is increasing the value of third-party developers, who play a role of complementors in platform ecosystems as creating virtual properties. Despite the significant role of developers in the sustainability of these nascent metaverse platforms, our understanding of their choice of platforms remains sparse. The study employed an Analytic Hierarchy Process (AHP), which is widely recognized for its efficiency in evaluating and ranking criteria at various levels within a hierarchical structure, aiding in systematic decision-making. The study scrutinizes not only the weights of three evaluation criteria (market attractiveness, technological readiness, and platform readiness), which have been commonly used in research on platform complementors, along with their sub-criteria, but also probes into developers' ultimate choice of specific platforms. Findings show that while user size, a sub-criterion of market attractiveness, emerges as the most crucial factor, the support of the developer community is less significant, differing from previous research findings. The study not only significantly enhances our understanding of the contemporary metaverse ecosystem, but also enriches knowledge of platform complementors.
本研究旨在探讨影响第三方开发者选择元海外平台的因素。随着元海外备受关注,许多元海外平台如雨后春笋般涌现。第三方开发者在平台生态系统中扮演着创造虚拟财产的补充者角色。尽管开发者在这些新生的元海外平台的可持续发展中扮演着重要角色,但我们对他们选择平台的了解仍然很少。本研究采用了层次分析法(AHP),该方法因其在层次结构中对不同层次的标准进行评估和排序的效率而得到广泛认可,有助于系统化决策。本研究不仅对平台互补研究中常用的三项评价标准(市场吸引力、技术准备程度和平台准备程度)及其子标准的权重进行了仔细研究,还对开发人员最终选择特定平台的情况进行了探究。研究结果表明,作为市场吸引力子标准的用户规模是最关键的因素,而开发者社区的支持则不那么重要,这与以往的研究结果有所不同。这项研究不仅大大加深了我们对当代元海外生态系统的了解,还丰富了我们对平台互补因素的认识。
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引用次数: 0
Unpacking the intellectual structure and evolution trend of general-purpose technologies development in innovation studies 解读创新研究中通用技术发展的知识结构和演变趋势
IF 12.9 1区 管理学 Q1 BUSINESS Pub Date : 2024-10-28 DOI: 10.1016/j.techfore.2024.123840
Yanan Xu, Yaowu Sun, Yiting Zhou
General-purpose technologies (GPTs) are crucial for advancing long-term economic growth. Previous research on GPTs has primarily focused on economics. However, in the innovation field, firms face greater challenges in appropriability and value creation due to GPTs' externalities. Research on GPTs in this flexible field may exhibit unique characteristics. Despite growing academic interest, related research remains fragmented, lacking a comprehensive theoretical system. Traditional literature reviews and bibliometric analyses often focus on the most cited articles, leading to citation biases and an emphasis on impact over theme discovery. Combining topic modeling with manual coding allows for the iteration of existing theories and the creation of new theoretical frameworks. Our study analyzed 532 articles on GPTs in the innovation field, identifying 11 topics using the LDA topic model. Through manual coding and the PyLDAvis visualization tool, we identified four research areas: jungle of GPTs, profiting from GPTs innovation, industrial convergence, and economic growth and wage inequality. We examined the evolutionary trajectory, and theoretical architecture of GPTs research, proposing a comprehensive framework. We urge scholars to extend GPTs research from the firm to the ecosystem level, consider the standardization and evolution of next-generation GPTs, and diversify research methods.
通用技术(GPT)对于推动长期经济增长至关重要。以往对通用技术的研究主要集中在经济学方面。然而,在创新领域,由于 GPT 的外部性,企业在可挪用性和价值创造方面面临着更大的挑战。在这一灵活领域对 GPT 的研究可能会呈现出独特的特点。尽管学术界的兴趣与日俱增,但相关研究仍然支离破碎,缺乏全面的理论体系。传统的文献综述和文献计量分析往往侧重于被引用次数最多的文章,从而导致引文偏差和重影响轻主题发现。将主题建模与手动编码相结合,可以迭代现有理论并创建新的理论框架。我们的研究分析了 532 篇关于创新领域 GPT 的文章,利用 LDA 主题模型确定了 11 个主题。通过手动编码和 PyLDAvis 可视化工具,我们确定了四个研究领域:GPT 的丛林、从 GPT 创新中获利、产业融合以及经济增长与工资不平等。我们考察了 GPTs 研究的演变轨迹和理论架构,提出了一个综合框架。我们呼吁学者们将 GPTs 研究从企业层面扩展到生态系统层面,考虑下一代 GPTs 的标准化和演化,并使研究方法多样化。
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引用次数: 0
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Technological Forecasting and Social Change
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