Amit Kumar, Som Sekhar Bhattacharyya, Bala Krishnamoorthy
{"title":"Automation-augmentation paradox in organizational artificial intelligence technology deployment capabilities; an empirical investigation for achieving simultaneous economic and social benefits","authors":"Amit Kumar, Som Sekhar Bhattacharyya, Bala Krishnamoorthy","doi":"10.1108/jeim-09-2022-0307","DOIUrl":"https://doi.org/10.1108/jeim-09-2022-0307","url":null,"abstract":"PurposeThe purpose of this research study was to understand the simultaneous competitive and social gains of machine learning (ML) and artificial intelligence (AI) usage in organizations. There was a knowledge hiatus regarding the contribution of the deployment of ML and AI technologies and their effects on organizations and society.Design/methodology/approachThis study was grounded on the dynamic capabilities (DC) and ML and AI automation-augmentation paradox literature. This research study examined these theoretical perspectives using the response of 239 Indian organizational chief technology officers (CTOs). Partial least square-structural equation modeling (PLS-SEM) path modeling was applied for data analysis.FindingsThe results indicated that ML and AI technologies organizational usage positively influenced DC initiatives. The findings depicted that DC fully mediated ML and AI-based technologies' effects on firm performance and social performance.Research limitations/implicationsThis study contributed to theoretical discourse regarding the tension between organizational and social outcomes of ML and AI technologies. The study extended the role of DC as a vital strategy in achieving social benefits from ML and AI use. Furthermore, the theoretical tension of the automation-augmentation paradox was explored.Practical implicationsOrganizations deploying ML and AI technologies could apply this study's insights to comprehend the organizational routines to pursue simultaneous competitive benefits and social gains. Furthermore, chief technology executives of organizations could devise how ML and AI technologies usage from a DC perspective could help settle the tension of the automation-augmentation paradox.Social implicationsIncreased ML and AI technologies usage in organizations enhanced DC. They could lead to positive social benefits such as new job creation, increased compensation to skilled employees and greater gender participation in employment. These insights could be derived based on this research study.Originality/valueThis study was among the first few empirical investigations to provide theoretical and practical insights regarding the organizational and societal benefits of ML and AI usage in organizations because of their DC. This study was also one of the first empirical investigations that addressed the automation-augmentation paradox at the enterprise level.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"19 10","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50164528","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":"Reduce supply chain financing risks through supply chain integration: dual approaches of alleviating information asymmetry and mitigating supply chain risks","authors":"Ruilei Qiao, Lindu Zhao","doi":"10.1108/jeim-01-2023-0016","DOIUrl":"https://doi.org/10.1108/jeim-01-2023-0016","url":null,"abstract":"PurposeInformation asymmetry and poor solvency caused by uncertainties in supply chains are the root causes of supply chain financing risks (SCFR). The purpose of this paper is to explore the effect of supply chain integration on reducing SCFR by incorporating the mechanisms of information sharing and controlling supply chain risks (SCR).Design/methodology/approachThis paper proposes hypothesis to discuss the impact of integration on SCFR and the mediating roles of alleviating information asymmetry and mitigating SCR, aiming at discovering factors and mechanisms to reduce SCFR. The research model was validated by applying structural equation modeling on survey data from 321 Chinese small and medium-sized enterprises (SMEs).FindingsIntegration significantly reduces SCFR by dual approaches of information sharing and mitigating SCR, confirming that alleviating information asymmetry to reach information transparency and controlling SCR to reduce uncertainties facilitate less SCFR.Research limitations/implicationsSMEs should enhance integration capability to reduce SCFR as it greatly influences the evaluation of financial service providers on SMEs and the sustainable financing capacity of SMEs. Additionally, any other methods that can improve information sharing and reduce SCR should be attached if possible.Originality/valueThis study represents a pioneering attempt to analyze the impact of integration on reducing SCFR by exploring the specific mechanisms of alleviating information asymmetry and mitigating SCR. Meanwhile, few prior empirical studies have highlighted the importance of SCFR.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43970528","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":"Enhancing supply chain resilience in SMEs: a deep Learning-based approach to managing Covid-19 disruption risks","authors":"Kai-Xiang Sun, K. Ooi, G. Tan, Voon‐Hsien Lee","doi":"10.1108/jeim-06-2023-0298","DOIUrl":"https://doi.org/10.1108/jeim-06-2023-0298","url":null,"abstract":"PurposeThis research examines the relationships between the components of supply chain integration (SCI) (i.e. internal integration (INI), customer integration (CI) and supplier integration (SI)), supply chain risk management (SCRM) and supply chain resilience (SCRE), with disruption impact (DI) as the moderator, among small and medium-sized enterprises (SMEs).Design/methodology/approach271 useable data were collected from Chinese SMEs to test the research model with two statistical approaches of PLS-SEM and ANN analysis.FindingsResults show that SCI (i.e. INI, CI and SI) positively affects SCRM, and subsequently affects SCRE. Moreover, SCRM has also been found to fully mediate the relationship between INI, CI and SI with SCRE. Additionally, DI was also found to moderate the relationship between SCRM and SCRE.Research limitations/implicationsThis study expands the supply chain management-related knowledge by empirically validating the mediating role of SCRM between the elements of SCI and SCRE, as well as empirically identifying DI as the moderator between SCRM and SCRE.Practical implicationsThe findings offer valuable understanding that can guide SME managers, owners and stakeholders in developing strategies for integrating with customers, suppliers and internal departments, as well as implementing SCRM practices to enhance SCRE performance.Originality/valueThe research expands the existing literature on the elements of SCI and SCRM in maintaining SCRE from an Asian developing country's perspective.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43078069","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}
Xin Tian, Wu He, Yuming He, Steve Albert, Michael Howard
{"title":"Using health belief model and social media analytics to develop insights from hospital-generated twitter messaging and community responses on the COVID-19 pandemic","authors":"Xin Tian, Wu He, Yuming He, Steve Albert, Michael Howard","doi":"10.1108/jeim-06-2021-0267","DOIUrl":"https://doi.org/10.1108/jeim-06-2021-0267","url":null,"abstract":"PurposeThis study aims to examine how different hospitals utilize social media to communicate risk information about COVID-19 with the communities they serve, and how hospitals' social media messaging (firm-generated content and their local community's responses (user-generated content) evolved with the COVID-19 outbreak progression.Design/methodology/approachThis research proposes a healthcare-specific social media analytics framework and studied 68,136 tweets posted from November 2019 to November 2020 from a geographically diverse set of ten leading hospitals' social media messaging on COVID-19 and the public responses by using social media analytics techniques and the health belief model (HBM).FindingsThe study found correlations between some of the HBM variables and COVID-19 outbreak progression. The findings provide actionable insight for hospitals regarding risk communication, decision making, pandemic awareness and education campaigns and social media messaging strategy during a pandemic and help the public to be more prepared for information seeking in the case of future pandemics.Practical implicationsFor hospitals, the results provide valuable insights for risk communication practitioners and inform the way hospitals or health agencies manage crisis communication during the pandemic For patients and local community members, they are recommended to check out local hospital's social media sites for updates and advice.Originality/valueThe study demonstrates the role of social media analytics and health behavior models, such as the HBM, in identifying important and useful data and knowledge for public health risk communication, emergency responses and planning during a pandemic.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47122413","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":"Understanding small and medium enterprises’ behavioral intention to adopt social commerce: a perceived value perspective","authors":"Parul Gupta, Fangfang Zhang, Sumedha Chauhan, Sandeep Goyal, Amit Kumar Bhardwaj, Yuvraj Gajpal","doi":"10.1108/jeim-09-2022-0356","DOIUrl":"https://doi.org/10.1108/jeim-09-2022-0356","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aims to examine the factors (Stimuli) enhancing perceived utilitarian, social and conditional values (Organisms) of social commerce (s-commerce) platforms and their impact on small and medium enterprises’ (SMEs’) behavioral intention (Response) to adopt s-commerce.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Survey data were gathered from 304 Indian SMEs using s-commerce platforms. Data were analyzed using SmartPLS 3 software.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The results indicated that perceived values significantly impact SMEs’ behavioral intention to adopt s-commerce. Among conditional, utilitarian and social values, the conditional value of s-commerce sites was found to be the strongest motivator for SMEs to adopt s-commerce.</p><!--/ Abstract__block -->\u0000<h3>Research limitations/implications</h3>\u0000<p>This research contributes to the growing literature on s-commerce, explaining how perceived value influences the decision of SMEs to adopt s-commerce platforms.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>Among the significant influencers, perceived usefulness and perceived reputation were found to be the most effective triggers that stimulate perceived values of s-commerce sites. The findings draw due attention from policymakers toward environmental cues such as the legal and regulatory environment, which are instrumental in creating the most important perceived value for SMEs, i.e. conditional value.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>By employing the inputs from the theory of consumption values and the Stimulus-Organism-Response framework, this original study looked beyond the technology factors and examined the role of perceived values of s-commerce platforms in shaping SMEs’ behavioral intention to adopt.</p><!--/ Abstract__block -->","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"89 12","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71435553","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":"Blockchain applications for traceability and food safety in agri-food supply chain: cherry product application","authors":"Şebnem İndap, M. Tanyas","doi":"10.1108/jeim-03-2023-0165","DOIUrl":"https://doi.org/10.1108/jeim-03-2023-0165","url":null,"abstract":"PurposeThe primary objective of this study is to investigate the application of blockchain technology (BCT) in the agri-food supply chain, focusing on traceability and food safety.Design/methodology/approachThe study employed a semi-structured interview method with representatives from the cherry supply chain to evaluate their awareness and acceptance of BCT's impact. Additionally, the analytic hierarchy process (AHP) was utilized to determine digital investment priorities in supply chain strategies. By applying the supply chain operations reference (SCOR) model framework to the cherry supply chain, the study aimed to address the question “Which process model is suitable for implementing BCT in the agri-food supply chain?”FindingsThe global agri-food supply chains are characterized by significant food losses, escalating prices along the chain, and food safety risks. Concurrently, consumer concerns regarding food safety, quality and transparency are on the rise. BCT, with its ability to ensure data integrity, immutability, and seamless tracking of chain movements, presents immense potential as a secure infrastructure in the agri-food supply chain traceability.Originality/valueThe developed analytic framework and the study's findings can be adapted to different sectors and different sub-sectors within agri-food supply chains.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44237470","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":"Mathematical depiction of costing perspectives allied with the dynamics of processed food supply chain","authors":"Janpriy Sharma, M. Tyagi, A. Bhardwaj","doi":"10.1108/jeim-02-2022-0057","DOIUrl":"https://doi.org/10.1108/jeim-02-2022-0057","url":null,"abstract":"PurposeThis study aims to ground the assessment of the various costing perspectives associated with the dynamics of processed food supply chains (FSCs), for questing the avenues of profitability within a food processing enterprise.Design/methodology/approachThis study underpins the development of the relation hierarchical model, binding the cluster of the key costing enactors, with the various incurred costs in the food supply chain performance system. The developed model is seeded by the inputs gathered from the case enterprises under consideration, which is further contemplated by extending the fundamentals of bipolar fuzzy sets with the methodology of ELECTRE-II.FindingsSecured primacies owing to the mutual correspondence between the costing cluster reveal the impact of procurement cost in the dynamics of FSC. Furthermore, an inference is grounded relative to the other entities of total costs like investment, production, transportation, distribution and retailing by considering the perspective of a case enterprise. It yields that procurement costing procedurals need to be deliberated supremely, considering the vitality of the costing perspective associated with the other procedurals of the case enterprise.Originality/valueThe framework developed in the presented work clusters the various costing enactors along with the costings in processed FSCs, binding its holistic perspective rather than the discrete approach. The present research work provides an origin to explore the various miniatures more precisely succeeding to secure primacies for upscaling the profit-cost notions. As costing determines the avenues bundled with the production and consumption of various food commodities.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48731935","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}
M. Sousa, Ana Moreira, João Leão, Miguel Sousa, P. Biancone, Federico Lanzalonga
{"title":"International entrepreneurship: an approach for entrepreneurial skill development","authors":"M. Sousa, Ana Moreira, João Leão, Miguel Sousa, P. Biancone, Federico Lanzalonga","doi":"10.1108/jeim-02-2023-0091","DOIUrl":"https://doi.org/10.1108/jeim-02-2023-0091","url":null,"abstract":"PurposeThe research aims to investigate the changing skills required for international entrepreneurship (IE) and the awareness of these skills among students and professionals in four European countries. The study intends to investigate students' and professionals' perceptions of entrepreneurial skills and the potential for educational programs to improve their awareness of these skills.Design/methodology/approachThis quantitative cross-sectional analysis uses an online questionnaire to collect data from 75 university students and 75 entrepreneurs in four European countries. Several tests validate the data, and Cronbach's alpha succeeded in measuring internal consistency. The results showed differences in the perception of skills between students and entrepreneurs.FindingsEntrepreneurs had developed all competencies except access to finance, while students had lower perceptions of their skills, except for collaboration. Students needed to improve significantly in access to finance, business planning, financial skills, knowledge of the labour market and digital marketing. Practitioners only required significant improvement in access to finance and digital marketing.Practical implicationsEducation programs should fit the needs of different groups: a broader program for students and more specific courses on access to finance and digital marketing for practitioners.Originality/valueThe present research's original feature highlights the need to monitor and adapt to the constantly changing skills for IE and the importance of hard and soft skills. The paper provides insights into the subject's awareness and perceived standard, with reflections for policymakers and practitioners.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41908629","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":"One decade of big data for firms' competitiveness: insights and a conceptual model from bibliometrics","authors":"Dieudonné Tchuente, Anass El Haddadi","doi":"10.1108/jeim-03-2022-0074","DOIUrl":"https://doi.org/10.1108/jeim-03-2022-0074","url":null,"abstract":"PurposeUsing analytics for firms' competitiveness is a vital component of a company's strategic planning and management process. In recent years, organizations have started to capitalize on the significant use of big data for analyses to gain valuable insights to improve decision-making processes. In this regard, leveraging and unleashing the potential of big data has become a significant success factor for steering firms' competitiveness, and the related literature is increasing at a very high pace. Thus, the authors propose a bibliometric study to understand the most important insights from these studies and enrich existing conceptual models.Design/methodology/approachIn this study, the authors use a bibliometric review on articles related to the use of big data for firms' competitiveness. The authors examine the contributions of research constituents (authors, institutions, countries and journals) and their structural and thematic relationships (collaborations, co-citations networks, co-word networks, thematic trends and thematic map). The most important insights are used to enrich a conceptual model.FindingsBased on the performance analysis results, the authors found that China is by far the most productive country in this research field. However, in terms of influence (by the number of citations per article), the most influential countries are the UK, Australia and the USA, respectively. Based on the science mapping analysis results, the most important findings are projected in the common phases of competitive intelligence processes and include planning and directions concepts, data collection concepts, data analysis concepts, dissemination concepts and feedback concepts. This projection is supplemented by cross-cutting themes such as digital transformation, cloud computing, privacy, data science and competition law. Three main future research directions are identified: the broadening of the scope of application fields, the specific case of managing or anticipating the consequences of pandemics or high disruptive events such as COVID-19 and the improvement of connection between firms' competitiveness and innovation practices in a big data context.Research limitations/implicationsThe findings of this study show that the most important research axis in the existing literature on big data and firms' competitiveness are mostly related to common phases of competitive intelligence processes. However, concepts in these phases are strongly related to the most important dimensions intrinsic to big data. The use of a single database (Scopus) or the selected keywords can lead to bias in this study. Therefore, to address these limitations, future studies could combine different databases (i.e. Web of Science and Scopus) or different sets of keywords.Practical implicationsThis study can provide to practitioners the most important concepts and future directions to deal with for using big data analytics to improve their competitiveness.Social implicationsT","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47818294","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}
Kiran Patil, Vipul Garg, Janeth Gabaldon, Himali Patil, S. Niranjan, Timothy G. Hawkins
{"title":"Firm performance in digitally integrated supply chains: a combined perspective of transaction cost economics and relational exchange theory","authors":"Kiran Patil, Vipul Garg, Janeth Gabaldon, Himali Patil, S. Niranjan, Timothy G. Hawkins","doi":"10.1108/jeim-09-2022-0335","DOIUrl":"https://doi.org/10.1108/jeim-09-2022-0335","url":null,"abstract":"PurposeThis paper aims to examine how interfirm transactional and relational assets drive firm performance (FP) in digitally integrated supply chains.Design/methodology/approachThe authors combine the Transaction Cost Economics (TCE) and Relational Exchange Theory (RET) frameworks to hypothesize that FP will be a function of Asset Specificity (AS), Digital Technology Usage (DTU) and Collaborative Information Sharing (CIS). In addition, the authors hypothesize that Supply Chain Integration (SCI) will partially mediate the effect of DTU and fully mediate the impact of AS and CIS on FP. A cross-sectional survey of supply chain managers is used to test the hypotheses.FindingsFindings indicate that specific investments in digitally integrated supply chains would increase FP. In addition, SCI fully mediates the relationships between AS and FP and CIS and FP, while SCI partially mediates the influence of DTU on FP.Practical implicationsManagers could strategically engage in the technologies that effectively fit within the firm’s supply chain strategies and seek to develop a pragmatic expertise that enables the effective use of technology in a comprehensive setting.Originality/valueThe study enriches the extant literature by incorporating TCE and RET as contradictory viewpoints on AS and investigating how transactional and relational assets affect FP in digitally integrated supply chains.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"1 1","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62082282","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}