Pub Date : 2023-09-13DOI: 10.1108/itp-12-2022-0990
Xu Ren, Xiangmei Sun
Purpose The use of enterprise social media (ESM) can promote knowledge sharing within project teams. However, the potential mechanism of ESM affordances influencing knowledge sharing has not been fully studied. This paper aims to develop a theoretical model to explore how individual psychological cognition and environmental factors affect ESM affordances. Design/methodology/approach An empirical research using ESM applications was conducted in China, and 214 valid responses were collected for data analysis. Partial least squares structural equation modeling method was performed to test the theoretical model and hypotheses. Findings The results suggest the following implications: (1) the visibility, persistence, editability and association of ESM affordances all have a positive effect on the effectiveness of knowledge sharing in project teams. (2) The psychological safety and psychological empowerment of team members have a significant positive influence on ESM affordances. (3) The project task complexity positively moderates the positive effects which the visibility and association have on the effectiveness of knowledge sharing, and negatively moderates the positive relationship between the editability and knowledge sharing. Originality/value Based on the social cognitive theory, this paper highlights the roles of psychological cognitive factors and project task context in the effect of ESM affordances having on knowledge sharing within project teams. Moreover, it provides valuable suggestions for project managers in project and knowledge management.
{"title":"How do enterprise social media affordances affect knowledge sharing within project teams: the social cognitive theory view","authors":"Xu Ren, Xiangmei Sun","doi":"10.1108/itp-12-2022-0990","DOIUrl":"https://doi.org/10.1108/itp-12-2022-0990","url":null,"abstract":"Purpose The use of enterprise social media (ESM) can promote knowledge sharing within project teams. However, the potential mechanism of ESM affordances influencing knowledge sharing has not been fully studied. This paper aims to develop a theoretical model to explore how individual psychological cognition and environmental factors affect ESM affordances. Design/methodology/approach An empirical research using ESM applications was conducted in China, and 214 valid responses were collected for data analysis. Partial least squares structural equation modeling method was performed to test the theoretical model and hypotheses. Findings The results suggest the following implications: (1) the visibility, persistence, editability and association of ESM affordances all have a positive effect on the effectiveness of knowledge sharing in project teams. (2) The psychological safety and psychological empowerment of team members have a significant positive influence on ESM affordances. (3) The project task complexity positively moderates the positive effects which the visibility and association have on the effectiveness of knowledge sharing, and negatively moderates the positive relationship between the editability and knowledge sharing. Originality/value Based on the social cognitive theory, this paper highlights the roles of psychological cognitive factors and project task context in the effect of ESM affordances having on knowledge sharing within project teams. Moreover, it provides valuable suggestions for project managers in project and knowledge management.","PeriodicalId":47740,"journal":{"name":"Information Technology & People","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134990999","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 : 2023-09-13DOI: 10.1108/itp-02-2022-0103
Liang Ma, Xin Zhang
Purpose Work interruptions (WIs) due to social media are becoming more and more common in the daily lives of organizations. However, the relationship between WI and work performance of employees is still unclear. This study aims to investigate the effects of WIs due to social media on employees' work performance in terms of different mechanisms; it also considers the moderating role of social media usage. Design/methodology/approach Using the jobs demands-resource (JD-R) model, this paper proposes a research model to investigate the effects of WIs on employee work performance from the perspective of the enabling mechanism and burden mechanism. Structural equation modeling (SEM) was used to analyze the data of 444 employees. Findings The results show that (1) with regard to the enabling mechanism path, WI has a positive effect on employees' sense of belonging, which further has a positive effect on employees' work performance; (2) with regard to the burden mechanism path, WI has a positive effect on employees' interruption overload; however, the effect of employee interruption overload on employees' work performance is not significant, and (3) social media used for either work or social purposes can strengthen the relationship between WI and interruption overload, while social media used for work-related purposes can reduce the relationship between WI and a sense of belonging. Originality/value First, this paper contributes to the WI literature by clarifying how WI affects employees' work performance through different mechanisms, namely the enabling mechanism and the burden mechanism. Second, this paper contributes to the WI literature by revealing a boundary condition, namely social media use, between WI and a sense of belonging and between WI and employees' interruption overload.
{"title":"Effects of work interruption on employees' work performance: moderating role of social media usage","authors":"Liang Ma, Xin Zhang","doi":"10.1108/itp-02-2022-0103","DOIUrl":"https://doi.org/10.1108/itp-02-2022-0103","url":null,"abstract":"Purpose Work interruptions (WIs) due to social media are becoming more and more common in the daily lives of organizations. However, the relationship between WI and work performance of employees is still unclear. This study aims to investigate the effects of WIs due to social media on employees' work performance in terms of different mechanisms; it also considers the moderating role of social media usage. Design/methodology/approach Using the jobs demands-resource (JD-R) model, this paper proposes a research model to investigate the effects of WIs on employee work performance from the perspective of the enabling mechanism and burden mechanism. Structural equation modeling (SEM) was used to analyze the data of 444 employees. Findings The results show that (1) with regard to the enabling mechanism path, WI has a positive effect on employees' sense of belonging, which further has a positive effect on employees' work performance; (2) with regard to the burden mechanism path, WI has a positive effect on employees' interruption overload; however, the effect of employee interruption overload on employees' work performance is not significant, and (3) social media used for either work or social purposes can strengthen the relationship between WI and interruption overload, while social media used for work-related purposes can reduce the relationship between WI and a sense of belonging. Originality/value First, this paper contributes to the WI literature by clarifying how WI affects employees' work performance through different mechanisms, namely the enabling mechanism and the burden mechanism. Second, this paper contributes to the WI literature by revealing a boundary condition, namely social media use, between WI and a sense of belonging and between WI and employees' interruption overload.","PeriodicalId":47740,"journal":{"name":"Information Technology & People","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134989992","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 : 2023-09-13DOI: 10.1108/itp-11-2022-0827
Ashraf Khalil, Salam Abdallah, Rafiq Hijazi, Kundan Sheikh
Purpose This study aims to understand the patterns of content-sharing behaviour on major social media platforms by young adult users with reference to how these sharing patterns are influenced by two main sociocultural factors in their lives, religiosity and social conformity. Design/methodology/approach Online surveys including both the ATSCI test for social conformity as well as the Hoge test for religiosity were filled out by 590 participants. In-depth interviews with six participants representative of the same population were conducted to deepen analysis of key variables explored in the surveys. The design of the interviews was semi-structured, whereby the focus was to achieve a general overview of participants' intentions and habits regarding sharing information via social media. Findings The findings show a significant positive impact of religiosity and social conformity on users' sharing intention which, in turn, affects their inclination towards verifying the content they share. Social implications The authors' findings emphasise how users bear the onus of correcting the online information space. It paves the way for future research by recognising the value of independent corroboration amongst users. Originality/value This study lends key support to the growing body of research on social media use in societies in which shared religious and cultural values tend to clearly impact everyday social interaction.
{"title":"Trust but verify: the effect of religiosity and social conformity on verification of content shared via social media","authors":"Ashraf Khalil, Salam Abdallah, Rafiq Hijazi, Kundan Sheikh","doi":"10.1108/itp-11-2022-0827","DOIUrl":"https://doi.org/10.1108/itp-11-2022-0827","url":null,"abstract":"Purpose This study aims to understand the patterns of content-sharing behaviour on major social media platforms by young adult users with reference to how these sharing patterns are influenced by two main sociocultural factors in their lives, religiosity and social conformity. Design/methodology/approach Online surveys including both the ATSCI test for social conformity as well as the Hoge test for religiosity were filled out by 590 participants. In-depth interviews with six participants representative of the same population were conducted to deepen analysis of key variables explored in the surveys. The design of the interviews was semi-structured, whereby the focus was to achieve a general overview of participants' intentions and habits regarding sharing information via social media. Findings The findings show a significant positive impact of religiosity and social conformity on users' sharing intention which, in turn, affects their inclination towards verifying the content they share. Social implications The authors' findings emphasise how users bear the onus of correcting the online information space. It paves the way for future research by recognising the value of independent corroboration amongst users. Originality/value This study lends key support to the growing body of research on social media use in societies in which shared religious and cultural values tend to clearly impact everyday social interaction.","PeriodicalId":47740,"journal":{"name":"Information Technology & People","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134990291","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 : 2023-09-12DOI: 10.1108/itp-12-2021-0978
Francesca Bonetti, Patsy Perry, Gary Warnaby
Purpose Fashion retailers have increasingly adopted consumer-facing in-store technology (CFIT) to enhance the customer experience/service provision. This paper aims to explore managerial experiences and sociotechnical implications of introducing these technologies into organizational working processes. Design/methodology/approach This study draws on interpretive analysis of semi-structured interviews with 74 senior fashion retail industry practitioners, technology providers and consultants to understand managerial perspectives on technological innovation issues. Findings Endogenous and exogenous factors act as drivers or barriers to CFIT adoption and are influenced by strategic and tactical motives. Key issues that retail managers encounter include challenges in aligning technology implementation with retailer brand image to manage risk and reputation, with additional complexity arising from different internal and/or external actors involved, as well as required levels of change in organizational structure. Originality/value This study contributes an empirically derived framework identifying reasons for – and the drivers/barriers influencing – fashion retailers' CFIT adoption, classifying three broad approaches to CFIT adoption: embedded, transformative and opportunistic.
{"title":"Managerial approaches and sociotechnical implications of the adoption of consumer-facing in-store technology in organizational processes: the case of fashion retail","authors":"Francesca Bonetti, Patsy Perry, Gary Warnaby","doi":"10.1108/itp-12-2021-0978","DOIUrl":"https://doi.org/10.1108/itp-12-2021-0978","url":null,"abstract":"Purpose Fashion retailers have increasingly adopted consumer-facing in-store technology (CFIT) to enhance the customer experience/service provision. This paper aims to explore managerial experiences and sociotechnical implications of introducing these technologies into organizational working processes. Design/methodology/approach This study draws on interpretive analysis of semi-structured interviews with 74 senior fashion retail industry practitioners, technology providers and consultants to understand managerial perspectives on technological innovation issues. Findings Endogenous and exogenous factors act as drivers or barriers to CFIT adoption and are influenced by strategic and tactical motives. Key issues that retail managers encounter include challenges in aligning technology implementation with retailer brand image to manage risk and reputation, with additional complexity arising from different internal and/or external actors involved, as well as required levels of change in organizational structure. Originality/value This study contributes an empirically derived framework identifying reasons for – and the drivers/barriers influencing – fashion retailers' CFIT adoption, classifying three broad approaches to CFIT adoption: embedded, transformative and opportunistic.","PeriodicalId":47740,"journal":{"name":"Information Technology & People","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135885408","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}
Purpose Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services. Design/methodology/approach Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries. Findings The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables. Originality/value The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.
{"title":"In companies we trust: consumer adoption of artificial intelligence services and the role of trust in companies and AI autonomy","authors":"Darius-Aurel Frank, Lina Fogt Jacobsen, Helle Alsted Søndergaard, Tobias Otterbring","doi":"10.1108/itp-09-2022-0721","DOIUrl":"https://doi.org/10.1108/itp-09-2022-0721","url":null,"abstract":"Purpose Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services. Design/methodology/approach Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries. Findings The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables. Originality/value The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.","PeriodicalId":47740,"journal":{"name":"Information Technology & People","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135478387","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 : 2023-02-28DOI: 10.1108/itp-10-2021-0737
Huasi Xu, Yidi Liu, Bingqing Song, Xueyan Yin, Xin Li
Purpose Drawing on social network and information diffusion theories, the authors study the impact of the structural characteristics of a seller’s local social network on her promotion effectiveness in social commerce. Design/methodology/approach The authors define a local social network as one formed by a focal seller, her directly connected users and all links among these users. Using data from a large social commerce website in China, the authors build econometric models to investigate how the density, grouping and centralization of local social networks affect the number of likes received by products posted by sellers. Findings Local social networks with low density, grouping and centralization are associated with more likes on sellers’ posted products. The negative effects of grouping and centralization are reduced when density is high. Originality/value The paper deepens the understanding of the determinants of social commerce success from a network structure perspective. In particular, it draws attention to the role of sellers’ local social networks, forming a foundation for future research on social commerce.
{"title":"Local social network structure and promotion effectiveness in social commerce","authors":"Huasi Xu, Yidi Liu, Bingqing Song, Xueyan Yin, Xin Li","doi":"10.1108/itp-10-2021-0737","DOIUrl":"https://doi.org/10.1108/itp-10-2021-0737","url":null,"abstract":"Purpose Drawing on social network and information diffusion theories, the authors study the impact of the structural characteristics of a seller’s local social network on her promotion effectiveness in social commerce. Design/methodology/approach The authors define a local social network as one formed by a focal seller, her directly connected users and all links among these users. Using data from a large social commerce website in China, the authors build econometric models to investigate how the density, grouping and centralization of local social networks affect the number of likes received by products posted by sellers. Findings Local social networks with low density, grouping and centralization are associated with more likes on sellers’ posted products. The negative effects of grouping and centralization are reduced when density is high. Originality/value The paper deepens the understanding of the determinants of social commerce success from a network structure perspective. In particular, it draws attention to the role of sellers’ local social networks, forming a foundation for future research on social commerce.","PeriodicalId":47740,"journal":{"name":"Information Technology & People","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135633417","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 : 2021-07-15DOI: 10.1108/ITP-07-2020-0534
Nehemia Sugianto, D. Tjondronegoro, R. Stockdale, E. Yuwono
PurposeThe paper proposes a privacy-preserving artificial intelligence-enabled video surveillance technology to monitor social distancing in public spaces.Design/methodology/approachThe paper proposes a new Responsible Artificial Intelligence Implementation Framework to guide the proposed solution's design and development. It defines responsible artificial intelligence criteria that the solution needs to meet and provides checklists to enforce the criteria throughout the process. To preserve data privacy, the proposed system incorporates a federated learning approach to allow computation performed on edge devices to limit sensitive and identifiable data movement and eliminate the dependency of cloud computing at a central server.FindingsThe proposed system is evaluated through a case study of monitoring social distancing at an airport. The results discuss how the system can fully address the case study's requirements in terms of its reliability, its usefulness when deployed to the airport's cameras, and its compliance with responsible artificial intelligence.Originality/valueThe paper makes three contributions. First, it proposes a real-time social distancing breach detection system on edge that extends from a combination of cutting-edge people detection and tracking algorithms to achieve robust performance. Second, it proposes a design approach to develop responsible artificial intelligence in video surveillance contexts. Third, it presents results and discussion from a comprehensive evaluation in the context of a case study at an airport to demonstrate the proposed system's robust performance and practical usefulness.
{"title":"Privacy-preserving AI-enabled video surveillance for social distancing: responsible design and deployment for public spaces","authors":"Nehemia Sugianto, D. Tjondronegoro, R. Stockdale, E. Yuwono","doi":"10.1108/ITP-07-2020-0534","DOIUrl":"https://doi.org/10.1108/ITP-07-2020-0534","url":null,"abstract":"PurposeThe paper proposes a privacy-preserving artificial intelligence-enabled video surveillance technology to monitor social distancing in public spaces.Design/methodology/approachThe paper proposes a new Responsible Artificial Intelligence Implementation Framework to guide the proposed solution's design and development. It defines responsible artificial intelligence criteria that the solution needs to meet and provides checklists to enforce the criteria throughout the process. To preserve data privacy, the proposed system incorporates a federated learning approach to allow computation performed on edge devices to limit sensitive and identifiable data movement and eliminate the dependency of cloud computing at a central server.FindingsThe proposed system is evaluated through a case study of monitoring social distancing at an airport. The results discuss how the system can fully address the case study's requirements in terms of its reliability, its usefulness when deployed to the airport's cameras, and its compliance with responsible artificial intelligence.Originality/valueThe paper makes three contributions. First, it proposes a real-time social distancing breach detection system on edge that extends from a combination of cutting-edge people detection and tracking algorithms to achieve robust performance. Second, it proposes a design approach to develop responsible artificial intelligence in video surveillance contexts. Third, it presents results and discussion from a comprehensive evaluation in the context of a case study at an airport to demonstrate the proposed system's robust performance and practical usefulness.","PeriodicalId":47740,"journal":{"name":"Information Technology & People","volume":"54 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2021-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83102989","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 : 2021-06-17DOI: 10.1108/ITP-10-2020-0699
Ambica Ghai, P. Kumar, Samrat Gupta
PurposeWeb users rely heavily on online content make decisions without assessing the veracity of the content. The online content comprising text, image, video or audio may be tampered with to influence public opinion. Since the consumers of online information (misinformation) tend to trust the content when the image(s) supplement the text, image manipulation software is increasingly being used to forge the images. To address the crucial problem of image manipulation, this study focusses on developing a deep-learning-based image forgery detection framework.Design/methodology/approachThe proposed deep-learning-based framework aims to detect images forged using copy-move and splicing techniques. The image transformation technique aids the identification of relevant features for the network to train effectively. After that, the pre-trained customized convolutional neural network is used to train on the public benchmark datasets, and the performance is evaluated on the test dataset using various parameters.FindingsThe comparative analysis of image transformation techniques and experiments conducted on benchmark datasets from a variety of socio-cultural domains establishes the effectiveness and viability of the proposed framework. These findings affirm the potential applicability of proposed framework in real-time image forgery detection.Research limitations/implicationsThis study bears implications for several important aspects of research on image forgery detection. First this research adds to recent discussion on feature extraction and learning for image forgery detection. While prior research on image forgery detection, hand-crafted the features, the proposed solution contributes to stream of literature that automatically learns the features and classify the images. Second, this research contributes to ongoing effort in curtailing the spread of misinformation using images. The extant literature on spread of misinformation has prominently focussed on textual data shared over social media platforms. The study addresses the call for greater emphasis on the development of robust image transformation techniques.Practical implicationsThis study carries important practical implications for various domains such as forensic sciences, media and journalism where image data is increasingly being used to make inferences. The integration of image forgery detection tools can be helpful in determining the credibility of the article or post before it is shared over the Internet. The content shared over the Internet by the users has become an important component of news reporting. The framework proposed in this paper can be further extended and trained on more annotated real-world data so as to function as a tool for fact-checkers.Social implicationsIn the current scenario wherein most of the image forgery detection studies attempt to assess whether the image is real or forged in an offline mode, it is crucial to identify any trending or potential forged image as ea
{"title":"A deep-learning-based image forgery detection framework for controlling the spread of misinformation","authors":"Ambica Ghai, P. Kumar, Samrat Gupta","doi":"10.1108/ITP-10-2020-0699","DOIUrl":"https://doi.org/10.1108/ITP-10-2020-0699","url":null,"abstract":"PurposeWeb users rely heavily on online content make decisions without assessing the veracity of the content. The online content comprising text, image, video or audio may be tampered with to influence public opinion. Since the consumers of online information (misinformation) tend to trust the content when the image(s) supplement the text, image manipulation software is increasingly being used to forge the images. To address the crucial problem of image manipulation, this study focusses on developing a deep-learning-based image forgery detection framework.Design/methodology/approachThe proposed deep-learning-based framework aims to detect images forged using copy-move and splicing techniques. The image transformation technique aids the identification of relevant features for the network to train effectively. After that, the pre-trained customized convolutional neural network is used to train on the public benchmark datasets, and the performance is evaluated on the test dataset using various parameters.FindingsThe comparative analysis of image transformation techniques and experiments conducted on benchmark datasets from a variety of socio-cultural domains establishes the effectiveness and viability of the proposed framework. These findings affirm the potential applicability of proposed framework in real-time image forgery detection.Research limitations/implicationsThis study bears implications for several important aspects of research on image forgery detection. First this research adds to recent discussion on feature extraction and learning for image forgery detection. While prior research on image forgery detection, hand-crafted the features, the proposed solution contributes to stream of literature that automatically learns the features and classify the images. Second, this research contributes to ongoing effort in curtailing the spread of misinformation using images. The extant literature on spread of misinformation has prominently focussed on textual data shared over social media platforms. The study addresses the call for greater emphasis on the development of robust image transformation techniques.Practical implicationsThis study carries important practical implications for various domains such as forensic sciences, media and journalism where image data is increasingly being used to make inferences. The integration of image forgery detection tools can be helpful in determining the credibility of the article or post before it is shared over the Internet. The content shared over the Internet by the users has become an important component of news reporting. The framework proposed in this paper can be further extended and trained on more annotated real-world data so as to function as a tool for fact-checkers.Social implicationsIn the current scenario wherein most of the image forgery detection studies attempt to assess whether the image is real or forged in an offline mode, it is crucial to identify any trending or potential forged image as ea","PeriodicalId":47740,"journal":{"name":"Information Technology & People","volume":"86 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84009744","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 : 2021-05-27DOI: 10.1108/ITP-06-2020-0374
Birgit Schenk, Mateusz Dolata, C. Schwabe, G. Schwabe
PurposeBy increasing the digitalization of commercial services citizens' expect more from public services. First of all, this study will strive to identify which problems citizens encounter when they use a complex public service: preparation of an application for a building permit. In the light of the popularity of omnichannel approaches, the study then explores how omni-channel could help to address the problems which have been identified.Design/methodology/approachWe implement the first phases of an action design science research project. We collect data both from citizens and public agencies and frame them as transparency problems. These abstract problems are then addressed by an omnichannel service provision as an abstract solution. The abstract solution is then instantiated in a design in the form of a user scenario developed in collaboration with current and future public officials.FindingsThe analysis uncovers multiple transparency issues: it distinguishes between process, case, language, cross-channel and cost transparency. One root cause of the transparency issues observed is the lack of service transparency which defines the purpose and scope of a ser-vice. We therefore recommend defining a service-strategy before informational and technical aspects of an omnichannel approach can be implemented. Following this strategy, omnichannel offers public administrations unique opportunities to excel in citizens' service provision.Originality/valueThe study provides insights into how citizens view complex public services. For researchers, this study offers the conceptualization as transparency issues. Practitioners from the public administrations can also benefit from the concept and vision of omnichannel public services.
{"title":"What citizens experience and how omni-channel could help–insights from a building permit case","authors":"Birgit Schenk, Mateusz Dolata, C. Schwabe, G. Schwabe","doi":"10.1108/ITP-06-2020-0374","DOIUrl":"https://doi.org/10.1108/ITP-06-2020-0374","url":null,"abstract":"PurposeBy increasing the digitalization of commercial services citizens' expect more from public services. First of all, this study will strive to identify which problems citizens encounter when they use a complex public service: preparation of an application for a building permit. In the light of the popularity of omnichannel approaches, the study then explores how omni-channel could help to address the problems which have been identified.Design/methodology/approachWe implement the first phases of an action design science research project. We collect data both from citizens and public agencies and frame them as transparency problems. These abstract problems are then addressed by an omnichannel service provision as an abstract solution. The abstract solution is then instantiated in a design in the form of a user scenario developed in collaboration with current and future public officials.FindingsThe analysis uncovers multiple transparency issues: it distinguishes between process, case, language, cross-channel and cost transparency. One root cause of the transparency issues observed is the lack of service transparency which defines the purpose and scope of a ser-vice. We therefore recommend defining a service-strategy before informational and technical aspects of an omnichannel approach can be implemented. Following this strategy, omnichannel offers public administrations unique opportunities to excel in citizens' service provision.Originality/valueThe study provides insights into how citizens view complex public services. For researchers, this study offers the conceptualization as transparency issues. Practitioners from the public administrations can also benefit from the concept and vision of omnichannel public services.","PeriodicalId":47740,"journal":{"name":"Information Technology & People","volume":"63 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88314852","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 : 2021-05-12DOI: 10.1108/itp-05-2020-0346
Fernanda Francielle de Oliveira Malaquias, Romes Jorge da Silva Júnior
PurposeThis paper aims to investigate the use of m-government applications for public services providing in Brazil. As a secondary objective, the paper aims to analyze the relationship between the use of m-government applications and development.Design/methodology/approachTo achieve the objective of this research, the 100 smartest cities of Brazil were selected and the mobile apps provided by their local governments were identified. Both qualitative and quantitative methods were adopted, including content analysis technique, chi-square test and regression analysis.FindingsThe results show that mobile apps developed by local governments of Brazilian smart cities include information and public services access, health, education, security, tourism, water supply system, environment, among others. The results also show a positive relationship between apps downloads and development indexes.Social implicationsThis paper emphasizes the social side of information technology, showing that it can contribute to the implementation of more inclusive cities that respond to the needs and interests of their citizens.Originality/valueThis paper presents empirical evidences of the potential benefits of m-government technologies for development in an emerging country. Moreover, it highlights how mobile applications developed by local governments may lead to a better quality of life of the population, considering a comprehensive approach of development that involves its economic, social and human dimensions.
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