Pub Date : 2023-09-22DOI: 10.1108/jeim-07-2022-0227
Ali Vedadi, Nita Brooks, Tim Greer
Purpose
Many organizations struggle to utilize security-as-a-service (SecaaS) advantages effectively, thus challenging the assumption that adopting the SecaaS model will necessarily lead to post-adoption satisfaction. This research paper draws on the organizational mindfulness theory and investigates the factors that lead to satisfaction with SecaaS.
Design/methodology/approach
The key informant-based survey approach was employed to collect data from 215 organizations that were using the SecaaS model. PLS was used for data analysis.
Findings
Organizations with greater extents of internal security resources report higher satisfaction levels with SecaaS, thanks to the mediating effect of organizational mindfulness, and that organizations with extensive and mature security auditing were especially well-positioned to experience satisfaction with SecaaS.
Originality/value
This research provides new theoretical insights into the conditions under which organizations' post-adoption satisfaction with the SecaaS model is shaped by investigating the role of internal security resources and organizational mindfulness.
{"title":"Investigating the role of internal security resources in post-adoption satisfaction with the Security-as-a-Service model: an organizational mindfulness perspective","authors":"Ali Vedadi, Nita Brooks, Tim Greer","doi":"10.1108/jeim-07-2022-0227","DOIUrl":"https://doi.org/10.1108/jeim-07-2022-0227","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Many organizations struggle to utilize security-as-a-service (SecaaS) advantages effectively, thus challenging the assumption that adopting the SecaaS model will necessarily lead to post-adoption satisfaction. This research paper draws on the organizational mindfulness theory and investigates the factors that lead to satisfaction with SecaaS.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>The key informant-based survey approach was employed to collect data from 215 organizations that were using the SecaaS model. PLS was used for data analysis.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Organizations with greater extents of internal security resources report higher satisfaction levels with SecaaS, thanks to the mediating effect of organizational mindfulness, and that organizations with extensive and mature security auditing were especially well-positioned to experience satisfaction with SecaaS.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This research provides new theoretical insights into the conditions under which organizations' post-adoption satisfaction with the SecaaS model is shaped by investigating the role of internal security resources and organizational mindfulness.</p><!--/ Abstract__block -->","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"19 8","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50164529","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}
Pub Date : 2023-09-19DOI: 10.1108/jeim-09-2022-0307
Amit Kumar, Som Sekhar Bhattacharyya, Bala Krishnamoorthy
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.
{"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}
Pub Date : 2023-08-25DOI: 10.1108/jeim-01-2023-0016
Ruilei Qiao, Lindu Zhao
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.
{"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}
Pub Date : 2023-08-24DOI: 10.1108/jeim-06-2023-0298
Kai-Xiang Sun, K. Ooi, G. Tan, Voon‐Hsien Lee
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.
{"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}
Pub Date : 2023-08-15DOI: 10.1108/jeim-06-2021-0267
Xin Tian, Wu He, Yuming He, Steve Albert, Michael Howard
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.
{"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}
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.
Design/methodology/approach
Survey data were gathered from 304 Indian SMEs using s-commerce platforms. Data were analyzed using SmartPLS 3 software.
Findings
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.
Research limitations/implications
This research contributes to the growing literature on s-commerce, explaining how perceived value influences the decision of SMEs to adopt s-commerce platforms.
Practical implications
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.
Originality/value
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.
{"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}
Pub Date : 2023-07-26DOI: 10.1108/jeim-03-2023-0165
Şebnem İndap, M. Tanyas
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.
{"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}
Pub Date : 2023-07-25DOI: 10.1108/jeim-02-2022-0057
Janpriy Sharma, M. Tyagi, A. Bhardwaj
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.
{"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}
Pub Date : 2023-07-20DOI: 10.1108/jeim-02-2023-0091
M. Sousa, Ana Moreira, João Leão, Miguel Sousa, P. Biancone, Federico Lanzalonga
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.
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Pub Date : 2023-07-19DOI: 10.1108/jeim-03-2022-0074
Dieudonné Tchuente, Anass El Haddadi
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
目的分析企业的竞争力是公司战略规划和管理过程的重要组成部分。近年来，组织已经开始利用大数据进行分析，以获得有价值的见解，以改善决策过程。在这方面，利用和释放大数据的潜力已经成为指导公司竞争力的重要成功因素，相关文献正在以非常高的速度增加。因此，作者提出了文献计量学研究，以了解这些研究中最重要的见解，并丰富现有的概念模型。设计/方法/方法在本研究中，作者对与利用大数据提高企业竞争力相关的文章进行了文献计量学回顾。作者考察了研究组成部分(作者、机构、国家和期刊)的贡献及其结构和主题关系(合作、共引网络、共词网络、专题趋势和专题地图)。最重要的见解是用来丰富概念模型的。结果基于绩效分析结果，作者发现中国是迄今为止该研究领域生产率最高的国家。然而，就影响力而言(每篇文章的引用次数)，最有影响力的国家分别是英国、澳大利亚和美国。基于科学映射分析结果，在竞争情报过程的常见阶段预测了最重要的发现，包括规划和方向概念、数据收集概念、数据分析概念、传播概念和反馈概念。数字转型、云计算、隐私、数据科学和竞争法等交叉主题补充了这一预测。确定了未来的三个主要研究方向:扩大应用领域范围，管理或预测流行病或高破坏性事件(如COVID-19)后果的具体案例，以及在大数据背景下改善企业竞争力与创新实践之间的联系。研究的局限性/启示本研究的发现表明，在现有的关于大数据和企业竞争力的文献中，最重要的研究轴大多与竞争情报过程的共同阶段有关。然而，这些阶段的概念与大数据固有的最重要维度密切相关。使用单一数据库(Scopus)或选择的关键词可能导致本研究的偏倚。因此，为了解决这些局限性，未来的研究可以结合不同的数据库(即Web of Science和Scopus)或不同的关键字集。实践意义本研究可以为从业人员提供利用大数据分析提高其竞争力的最重要的概念和未来的发展方向。社会意义本研究可以帮助研究人员或从业者在企业竞争力的大数据背景下确定潜在的研究合作者或确定合适的出版物来源。原创性/价值作者从文献计量学研究的产出中提出了一个与大数据和企业竞争力相关的概念模型。
{"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}
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