Management Decision最新文献

{"title":"Supply chain 5.0 digitalization: an integrated approach for risk assessment","authors":"Kamar Zekhnini, Abla Chaouni Benabdellah, Surajit Bag, Shivam Gupta","doi":"10.1108/md-12-2023-2329","DOIUrl":"https://doi.org/10.1108/md-12-2023-2329","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This article aims to assess risks related to the supply chain 5.0 digitalization. It aims to analyze interdependencies and causal relationships between critical digital supply chain 5.0 risks, emphasizing the need for proactive management to address emerging challenges.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Through an extensive literature review and expert judgment, risks related to supply chain 5.0 digitalization are identified. An integrated approach for risk assessment is employed, where the Analytic Hierarchy Process (AHP) is utilized to prioritize these risks. Subsequently, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is employed to investigate cause-and-effect relationships among the identified top 10 risks. This comprehensive analysis forms the basis for informed strategic management decision-making.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The analysis identifies significant influences of “Dependence on technology,” “Complexity”, “Potential system failures”, and “Cyber security” while “Environmental impact” and “Socio-economic disparities” emerge as prominent risks in supply chain 5.0 digitalization. These findings offer actionable insights for management decision-making, guiding the formulation of strategies to address and mitigate critical risks.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>The proposed integrated approach (AHP-DEMATEL) provides valuable insights for managers to effectively mitigate digital supply chain 5.0 risks and strategically respond to disruptions. By prioritizing risks, organizations can allocate resources efficiently and address the most critical challenges first, minimizing long-term damage to resilience. Embracing this approach enables practitioners to enhance overall supply chain resilience, guiding key management decisions for the development of sustainable and adaptive strategies.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This paper marks the first comprehensive attempt to assess supply chain 5.0 digitalization risks using decision-making methods like AHP and DEMATEL. The integrated approach contributes novel insights to the field of supply chain risk management, specifically aiding management decision-making in the face of digitalization challenges.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"78 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141570204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of artificial intelligence in the decision-making process: a study on the financial analysis and movement forecasting of the world’s largest stock exchanges","authors":"Ewerton Alex Avelar, Ricardo Vinícius Dias Jordão","doi":"10.1108/md-09-2023-1625","DOIUrl":"https://doi.org/10.1108/md-09-2023-1625","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This paper aims to analyze the role and performance of different artificial intelligence (AI) algorithms in forecasting future movements in the main indices of the world’s largest stock exchanges.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Drawing on finance-based theory, an empirical and experimental study was carried out using four AI-based models. The investigation comprised training, testing and analysis of model performance using accuracy metrics and F1-Score on data from 34 indices, using 9 technical indicators, descriptive statistics, Shapiro–Wilk, Student’s <em>t</em> and Mann–Whitney and Spearman correlation coefficient tests.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>All AI-based models performed better than the markets' return expectations, thereby supporting financial, strategic and organizational decisions. The number of days used to calculate the technical indicators enabled the development of models with better performance. Those based on the random forest algorithm present better results than other AI algorithms, regardless of the performance metric adopted.</p><!--/ Abstract__block -->\u0000<h3>Research limitations/implications</h3>\u0000<p>The study expands knowledge on the topic and provides robust evidence on the role of AI in financial analysis and decision-making, as well as in predicting the movements of the largest stock exchanges in the world. This brings theoretical, strategic and managerial contributions, enabling the discussion of efficient market hypothesis (EMH) in a complex economic reality – in which the use of automation and application of AI has been expanded, opening new avenues of future investigation and the extensive use of technical analysis as support for decisions and machine learning.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>The AI algorithms' flexibility to determine their parameters and the window for measuring and estimating technical indicators provide contextually adjusted models that can entail the best possible performance. This expands the informational and decision-making capacity of investors, managers, controllers, market analysts and other economic agents while emphasizing the role of AI algorithms in improving resource allocation in the financial and capital markets.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>The originality and value of the research come from the methodology and systematic testing of the EMH through the main indices of the world’s largest stock exchanges – something still unprecedented despite being widely expected by scholars and the market.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"15 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141550814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence features and expectation confirmation theory in digital banking apps: Gen Y and Z perspective","authors":"Puneett Bhatnagr, Anupama Rajesh","doi":"10.1108/md-07-2023-1145","DOIUrl":"https://doi.org/10.1108/md-07-2023-1145","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aimed to explore the impact of Artificial Intelligence (AI) characteristics, namely Perceived Animacy (PAN), perceived intelligence (PIN), and perceived anthropomorphism (PAI), on user satisfaction (ESA) and continuous intentions (CIN) by integrating Expectation Confirmation Theory (ECT), with a particular focus on Generation Y and Z.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Using a quantitative method, the study collected 495 data from Gen Y (204) and Z (291) respondents who were users of digital banking apps through structured questionnaires that were analysed using PLS-SEM. The latter helped investigate the driving forces of AI characteristics and user behavioural intentions as well as reveal generation-specific features of digital banking engagement.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The study revealed that PAN and PIN have significant positive effects on the anthropomorphic perceptions of digital banking apps, which in turn increases perceived usefulness, satisfaction, and continuous intentions. In particular, the influence of these AI attributes varies across generations; Gen Y’s loyalty is mostly based on the benefits derived from AI features, whereas Gen Z places a greater value on the anthropomorphic factor of AI. This marked a generational shift in the demand for digital banking services.</p><!--/ Abstract__block -->\u0000<h3>Research limitations/implications</h3>\u0000<p>The specificity of Indian Gen Y and Z users defines the scope of this study, suggesting that demographic and geographical boundaries can be broadened in future AI-related banking research.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>The results have important implications for bank executive officers and policymakers in developing AI-supported digital banking interfaces that appeal to the unique tastes of millennial customers, thus emphasising the importance of personalising AI functionalities to enhance user participation and loyalty.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study enriches the digital banking literature by combining AI attributes with ECT, offering a granular understanding of AI’s role in modulating young consumers' satisfaction and continuance intentions. It underscores the strategic imperative of AI in cultivating compelling and loyalty-inducing digital banking environments tailored to the evolving expectations of Generations Y and Z.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"8 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141550813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital marketing capabilities, entrepreneurial orientation and franchise systems' performance","authors":"Matheus Dermonde, Bruno Brandão Fischer, Gustavo Hermínio Salati Marcondes Moraes","doi":"10.1108/md-05-2023-0707","DOIUrl":"https://doi.org/10.1108/md-05-2023-0707","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>We adopt the conceptual lens of the Dynamic Capabilities Approach to evaluate the relationship between Entrepreneurial Orientation (EO), Digital Marketing Capabilities (DMC), and Performance in Brazilian franchises.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>We applied a survey with franchisors at the Brazilian Franchising Association Expo 2022. Data were collected for 145 franchise systems. We used Partial Least Squares Structural Equation Modeling and tested two distinct models. Model 1 presents the direct effects of EO and DMC on Performance. In Model 2 we include the mediation effect of DMC on the relationship between EO and Performance.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Aligned with prior literature, in our first model we found a direct association between EO and Performance and between DMC and Performance. In our second model, when analyzing the combination of EO and DMC, we observed a full mediation effect of DMC in the relationship between EO and performance, and an indirect effect of EO on performance.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>We advance in the debate of the relationship between EO and Performance in the franchise context, adding to our model the DMC perspective. Findings shed light on the importance of digital marketing capabilities for franchise systems. These elements open important avenues for dedicated research to further understand how digitalization process can be redefining the drivers of performance in entrepreneurial firms.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"137 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141550639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Governance of corporate social responsibility: a platform ecosystem perspective","authors":"Wenfang Lin, Yifeng Wang, Georges Samara, Jintao Lu","doi":"10.1108/md-10-2023-1843","DOIUrl":"https://doi.org/10.1108/md-10-2023-1843","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>The sustainable development of the platform economy has been hindered by the absence and alienation of platform corporate social responsibility. Previous studies have mainly focused on the contents and governance models for platform corporate social responsibility. This study seeks to explore which strategy participants choose in the governance of platform corporate social responsibility and their influencing factors.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Using a platform ecosystem approach, a quadrilateral evolutionary game model was developed, and the stabilities of subjects’ behavioral strategies and their combinations in various scenarios were analyzed. Additionally, the effects of key parameters on the system’s evolutionary path were simulated.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The ideal steady state system is achieved when platform enterprises, complementors and consumers adopt positive strategies while the government adopts lax regulation. Moreover, the evolutionary strategies of the subjects are influenced by several factors, including the participation costs of governance, the rewards and punishments imposed by platform enterprises, as well as the reputational losses of platform enterprises and complementors due to media coverage.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>This study offers insights into improving the governance effectiveness of platform corporate social responsibility for managers and practitioners.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study contributes to existing literature by considering the rational orientation of platform ecosystem members and revealing the interaction mechanisms among members. Furthermore, this study combines collective action theory and reputation theory to clarify the influencing factors on members’ behaviors.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"67 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141532125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leadership styles, team innovative behavior, and new green product development performance","authors":"Cai Li, Majid Murad, Sheikh Farhan Ashraf, Wang Jiatong","doi":"10.1108/md-06-2023-0935","DOIUrl":"https://doi.org/10.1108/md-06-2023-0935","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Employee’s innovative behavior as a team allows the organization to achieve its goals; however, team green creativity requires transformational and entrepreneurial leader support. Therefore, the study explores the impact of green transformational and entrepreneurial leadership on team innovative behavior and green new product development with the mediating role of team green creativity.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>A survey was conducted to collect data from 455 employees working in the hospitality industry via a self-administered questionnaire, and hypotheses were analyzed using the partial least squares structural equation modeling PLS-SEM technique using Smart-PLS 4.0.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The results indicate that green transformational and entrepreneurial leadership styles positively and significantly affect team innovative behavior and new green product development performance. Furthermore, findings show that team green creativity partially mediates the relationship between green transformational and entrepreneurial leadership on team innovative behavior, and new green product development performance.</p><!--/ Abstract__block -->\u0000<h3>Research limitations/implications</h3>\u0000<p>The results of this study provide insights to hospitality professionals pursuing the improvement of team innovative behavior and new green product development performance through team green creativity and leadership styles.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>This study is useful for organizations that target new green product development performance and establish higher green innovative behavior cohesively among its team members through these robust leadership styles.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study is the first attempt to provide a valuable contribution to the growing field of green leadership styles on team innovative behavior and new green product development performance through team green creativity.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"212 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141526626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ESG and impact litigation: identifying and governing the causes through strategic accountability patterns","authors":"Chiara Andreoli, Chiara Cremasco, Camilla Falivena, Sandro Brunelli","doi":"10.1108/md-10-2023-2008","DOIUrl":"https://doi.org/10.1108/md-10-2023-2008","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>As financial firms incorporate impact strategies more extensively into their operations, they are asked to sustain their impact claims and thus face increased risks of regulatory scrutiny and lawsuits from private and public parties. The lack of reliable frameworks to measure impact gives rise to phenomena like impact washing, leading to litigations. This article aims to explore the main factors contributing to the impact litigation risk and the mechanisms employed by practitioners in the impact investing field to navigate and address this challenge.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>We conducted semi-structured interviews involving three impact investors and three impact lawyers with specific knowledge of ESG and impact controversies, adopting the Gioia Methodology for the analysis. We triangulated such information with the analysis of secondary data.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The “great noise” around the impact investing world and the rise of impact washing, the lack of shared standards for measuring impacts and the misalignment of interests among actors involved in the initiatives constitute a potential “litigation bomb”. Such a scenario is detrimental to an investment strategy, which has the potential to tackle societal issues.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study represents an initial effort to connect the academic debate on impact litigation with the expert’s active “on-field” standpoints. The identified and validated drivers of impact litigations provide valuable insight to enhance the governance and accountability of impact investing. Implementing Impact Measurement and Management (IMM) tools, participatory governance models, clear impact-focused contracts and a proactive approach could serve as prospective solutions to mitigate the risk of disputes.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"22 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence as an enabler for entrepreneurial finance: a practical guide to AI-driven video pitch evaluation for entrepreneurs and investors","authors":"Guglielmo Giuggioli, Massimiliano Matteo Pellegrini, Giorgio Giannone","doi":"10.1108/md-10-2023-1926","DOIUrl":"https://doi.org/10.1108/md-10-2023-1926","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>While different attempts have been made to use artificial intelligence (AI) to codify communicative behaviors and analyze startups’ video presentations in relation to crowdfunding projects, less is known about other forms of access to entrepreneurial finance, such as video pitches for candidacies into startup accelerators and incubators. This research seeks to demonstrate how AI can enable the startup selection process for both entrepreneurs and investors in terms of video pitch evaluation.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>An AI startup (Speechannel) was used to predict the outcomes of startup video presentations by analyzing text, audio, and video data from 294 video pitches sent to a leading European startup accelerator (LUISS EnLabs). 7 investors were also interviewed in Silicon Valley to establish the differences between humans and machines.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>This research proves that AI has profound implications with regards to the decision-making process related to fundraising and, in particular, the video pitches of startup accelerators and incubators. Successful entrepreneurs are confident (but not overconfident), engaging in terms of speaking quickly (but also clearly), and emotional (but not overemotional).</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>This study not only fills the existing research gap but also provides a practical guide on AI-driven video pitch evaluation for entrepreneurs and investors, reshaping the landscape of entrepreneurial finance thanks to AI. On the one hand, entrepreneurs could use this knowledge to modify their behaviors, enabling them to increase their likelihood of being financially backed. On the other hand, investors could use these insights to better rationalize their funding decisions, enabling them to select the most promising startups.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This paper makes a significant contribution by bridging the gap between theoretical research and the practical application of AI in entrepreneurial finance, marking a notable advancement in this field. At a theoretical level, it contributes to research on managerial decision-making processes – particularly those related to the analysis of video presentations in a fundraising context. At a practical level, it offers a model that we called the “AI-enabled video pitch evaluation”, which is used to extract features from the video pitches of startup accelerators and incubators and predict an entrepreneurial project’s success.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"19 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of ESG performance on intangible assets and intellectual capital in the food and beverage industry","authors":"Federico Lanzalonga, Michele Oppioli, Davide Calandra, Silvana Secinaro","doi":"10.1108/md-09-2023-1664","DOIUrl":"https://doi.org/10.1108/md-09-2023-1664","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study investigates how environmental, social, and governance (ESG) factors influence intangible asset and intellectual capital valuation within the food and beverage (F&amp;B) industry. By examining and contrasting global and European contexts, the research highlights ESG’s critical role in shaping the economic dimensions of sustainability across different regulatory environments. The results provide essential insights for stakeholders aiming to enhance corporate value through responsible business practices.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>We adopt a quantitative fixed-effects panel regression analysis for ESG performance and intangible asset and intellectual capital values. The correlations between these variables are explored both globally and in the European Union using 1,034 observations from 502 F&amp;B companies.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Globally, higher ESG performance corresponds to lower intangible asset values, a trend not observed in the European Union. Further, high ESG performance is associated with a decrease in intellectual capital value, suggesting that internal organisational efforts in this area should be rewarded in terms of short-term value.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study provides a new understanding of the relationship between ESG performance, intellectual capital, and the F&amp;B industry operating environment, highlighting the complexity and challenges associated with integrating ESG practices.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"1 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141258474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Management innovation, digital capacity and enterprise innovation performance","authors":"Ruida Li, Ling Yuan, Zhuoying Jiang","doi":"10.1108/md-09-2023-1647","DOIUrl":"https://doi.org/10.1108/md-09-2023-1647","url":null,"abstract":"<h3>Purpose</h3>\u0000<p> Small- and medium-sized enterprises (SMEs) are key players in economic activities. Yet little research focuses on their management innovation’s effect on innovation performance, this paper explores the impact of three sub-dimensions of management innovation (new organizational structure, new processes and new practices) on innovation performance (innovation outcome performance and innovation process performance) of SMEs in the manufacturing industry. It elucidates the mediating role of external knowledge search (search depth and search breadth) and identifies the moderating effect of digital capability.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p> By collecting primary data through a questionnaire survey, this paper employs Mplus and SPSS to analyze data.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>This paper finds that management innovation positively affects innovation performance, with a greater impact on innovation outcome performance. Search breadth partially mediates the relationship between new organizational structure and innovation performance. Digital capability positively moderates the positive relationship between management innovation and external knowledge search.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p> The theoretical contribution of this study is to supplement the research on the consequences of management innovation and to improve the theoretical relationship between management innovation and external knowledge search based on firm behavior theory.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"26 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141258192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}