Pub Date : 2023-04-04DOI: 10.1108/vjikms-08-2022-0253
Anshita Bihari, M. Dash, K. Muduli, Anil Kumar K, Eyob Mulat-weldemeskel, S. Luthra
Purpose Current research in the field of behavioural finance has attempted to discover behavioural biases and their characteristics in individual investors’ irrational decision-making. This study aims to find out how biases in information based on knowledge affect decisions about investments. Design/methodology/approach In step one, through existing research and consultation with specialists, 13 relevant items covering major aspects of bias were determined. In the second step, multiple linear regression and artificial neural network were used to analyse the data of 337 retail investors. Findings The investment choice was heavily impacted by regret aversion, followed by loss aversion, overconfidence and the Barnum effect. It was observed that the Barnum effect has a statistically significant negative link with investing choices. The research also found that investors’ fear of making mistakes and their tendency to be too sure of themselves were the most significant factors in their decisions about where to put their money. Practical implications This research contributes to the expansion of the knowledge base in behavioural finance theory by highlighting the significance of cognitive psychological traits in how leading investors end up making irrational decisions. Portfolio managers, financial institutions and investors in developing markets may all significantly benefit from the information offered. Originality/value This research is a one-of-a-kind study, as it analyses the emotional biases along with the cognitive biases of investor decision-making. Investor decisions generally consider the shadowy side of knowledge management.
{"title":"Does cognitive biased knowledge influence investor decisions? An empirical investigation using machine learning and artificial neural network","authors":"Anshita Bihari, M. Dash, K. Muduli, Anil Kumar K, Eyob Mulat-weldemeskel, S. Luthra","doi":"10.1108/vjikms-08-2022-0253","DOIUrl":"https://doi.org/10.1108/vjikms-08-2022-0253","url":null,"abstract":"Purpose\u0000Current research in the field of behavioural finance has attempted to discover behavioural biases and their characteristics in individual investors’ irrational decision-making. This study aims to find out how biases in information based on knowledge affect decisions about investments.\u0000\u0000\u0000Design/methodology/approach\u0000In step one, through existing research and consultation with specialists, 13 relevant items covering major aspects of bias were determined. In the second step, multiple linear regression and artificial neural network were used to analyse the data of 337 retail investors.\u0000\u0000\u0000Findings\u0000The investment choice was heavily impacted by regret aversion, followed by loss aversion, overconfidence and the Barnum effect. It was observed that the Barnum effect has a statistically significant negative link with investing choices. The research also found that investors’ fear of making mistakes and their tendency to be too sure of themselves were the most significant factors in their decisions about where to put their money.\u0000\u0000\u0000Practical implications\u0000This research contributes to the expansion of the knowledge base in behavioural finance theory by highlighting the significance of cognitive psychological traits in how leading investors end up making irrational decisions. Portfolio managers, financial institutions and investors in developing markets may all significantly benefit from the information offered.\u0000\u0000\u0000Originality/value\u0000This research is a one-of-a-kind study, as it analyses the emotional biases along with the cognitive biases of investor decision-making. Investor decisions generally consider the shadowy side of knowledge management.","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45737266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Radiation Protection Knowledge and Awareness of Naturally Occurring Radioactive Materials among Underground Goldmine Workers in Ghana","authors":"","doi":"10.7176/ikm/13-3-04","DOIUrl":"https://doi.org/10.7176/ikm/13-3-04","url":null,"abstract":"","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":"64 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85491576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-28DOI: 10.1108/vjikms-09-2022-0294
Ronnié Figueiredo, João J. M. Ferreira, M. Emilia, O. Dorokhov
Purpose This study aims to predict the dark side of knowledge management risk to innovation in Portuguese small and medium enterprises (SMEs). It examines the spinner innovation model factors of knowledge creation, knowledge transfer, private knowledge, public knowledge and innovation in uncertain environments. Design/methodology/approach The authors developed a conceptual model to support the analysis. The survey data stemmed from a sample of 208 Portuguese SMEs in Portugal. The authors analyzed the primary data from the ad hoc survey using the data mining (deep learning) technique. Findings The research sets out and tests factors relevant to understanding how to predict innovation in uncertain business environments. This study identifies four factors fostering innovation in SMEs: knowledge creation, knowledge transfer, public knowledge management and private knowledge management. Knowledge creation showed the best return and presented the closest relationship with innovation. Originality/value Innovation models generally measure the relationships between variables and their impacts on the economy (economic and regional development). Predictive models are considered in the literature as a gap to be filled, especially in an uncertain environment in the SME context.
{"title":"Applying deep learning to predict innovations in small and medium enterprises (SMEs): the dark side of knowledge management risk","authors":"Ronnié Figueiredo, João J. M. Ferreira, M. Emilia, O. Dorokhov","doi":"10.1108/vjikms-09-2022-0294","DOIUrl":"https://doi.org/10.1108/vjikms-09-2022-0294","url":null,"abstract":"\u0000Purpose\u0000This study aims to predict the dark side of knowledge management risk to innovation in Portuguese small and medium enterprises (SMEs). It examines the spinner innovation model factors of knowledge creation, knowledge transfer, private knowledge, public knowledge and innovation in uncertain environments.\u0000\u0000\u0000Design/methodology/approach\u0000The authors developed a conceptual model to support the analysis. The survey data stemmed from a sample of 208 Portuguese SMEs in Portugal. The authors analyzed the primary data from the ad hoc survey using the data mining (deep learning) technique.\u0000\u0000\u0000Findings\u0000The research sets out and tests factors relevant to understanding how to predict innovation in uncertain business environments. This study identifies four factors fostering innovation in SMEs: knowledge creation, knowledge transfer, public knowledge management and private knowledge management. Knowledge creation showed the best return and presented the closest relationship with innovation.\u0000\u0000\u0000Originality/value\u0000Innovation models generally measure the relationships between variables and their impacts on the economy (economic and regional development). Predictive models are considered in the literature as a gap to be filled, especially in an uncertain environment in the SME context.\u0000","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45426280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-28DOI: 10.1108/vjikms-08-2022-0279
C. Pacheco, Bino Paul
Purpose Interdependence on the global economy and rapid technological changes raised the degree of uncertainty and complexity, leading to innovation challenges. Innovation depends on knowledge, and the solution might rest on how sound firms manage it, particularly in emerging markets such as India. The purpose of this paper is to examine how firms implement knowledge management (KM) in highly innovation-oriented firms (biotechnology and pharmaceuticals) and the factors affecting its implementation by examining knowledge interactions between individuals. Design/methodology/approach This study consists of a systematic literature review, a case study with embedded units and the use of grounded theory to analyse the data. The factors emerging from the results were examined from an individual and organisational lens. Next, complexity theory (CT) was used to understand the impact of these factors in KM by facilitating its incorporation as a system. Findings The findings of this paper suggest that constant technology adoption increases human-to-technology interaction, higher circulation of existing knowledge and more controlled environments, discouraging individuals from learning or sharing knowledge. From a system perspective, results of this paper suggest that firms self-organise around technology, indicating that innovation decreases as knowledge creation and sharing tend to reduce with lesser social interactions. This study shows the usefulness of using CT in analysing KM for innovation. The performance of the system is analysed based on its constituents and interactions. Originality/value This study contributes to advancing CT in KM in the context of innovation in highly knowledge-intensive firms, as few studies were found in the literature.
{"title":"Applying complexity theory perspective to knowledge management in the innovation context","authors":"C. Pacheco, Bino Paul","doi":"10.1108/vjikms-08-2022-0279","DOIUrl":"https://doi.org/10.1108/vjikms-08-2022-0279","url":null,"abstract":"\u0000Purpose\u0000Interdependence on the global economy and rapid technological changes raised the degree of uncertainty and complexity, leading to innovation challenges. Innovation depends on knowledge, and the solution might rest on how sound firms manage it, particularly in emerging markets such as India. The purpose of this paper is to examine how firms implement knowledge management (KM) in highly innovation-oriented firms (biotechnology and pharmaceuticals) and the factors affecting its implementation by examining knowledge interactions between individuals.\u0000\u0000\u0000Design/methodology/approach\u0000This study consists of a systematic literature review, a case study with embedded units and the use of grounded theory to analyse the data. The factors emerging from the results were examined from an individual and organisational lens. Next, complexity theory (CT) was used to understand the impact of these factors in KM by facilitating its incorporation as a system.\u0000\u0000\u0000Findings\u0000The findings of this paper suggest that constant technology adoption increases human-to-technology interaction, higher circulation of existing knowledge and more controlled environments, discouraging individuals from learning or sharing knowledge. From a system perspective, results of this paper suggest that firms self-organise around technology, indicating that innovation decreases as knowledge creation and sharing tend to reduce with lesser social interactions. This study shows the usefulness of using CT in analysing KM for innovation. The performance of the system is analysed based on its constituents and interactions.\u0000\u0000\u0000Originality/value\u0000This study contributes to advancing CT in KM in the context of innovation in highly knowledge-intensive firms, as few studies were found in the literature.\u0000","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45013178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-23DOI: 10.1108/vjikms-09-2022-0299
Mohamed Mohiya, F. Caputo
Purpose HR Blog is one of the social technologies systems to allow employees to voice the issues they experience. However, employees’ trust becomes an emerging issue to use HR Blog. This paper aims to investigate the impact level of employees’ trust in using HR Blog and identifying the causes affecting employees’ trust in using HR Blog. Social exchange theory (SET) was adopted as a vehicle to assist in identifying the employees’ trust causes. SET found serves the aim of research because it posits that the relationship between employees and HR Blog is built based on reciprocity, two-way of exchange. Design/methodology/approach The research adopts a qualitative method, namely, semi-structured interviews. The total number of conducted semi-structured interviews is 46, 38 interviews with HR Blog users and eight interviews with the management of HR Blog. Findings The present research found that HR Blog is distrusted by the vast majority of employees. The causes of HR Blog distrust were: functionality (mainly the placing the filtration process); lack of feedback and attention to employees in HR Blog; lack of providing tangible outcomes of HR Blog; and absence of HR Blog informative materials and clear guidelines. Originality/value This research lies in the fact that it is one of the first studies that focus on employees’ perspectives to empirically identify and investigate their trust factors affecting the use of HR Blog. The study achieved its aim in terms of gaining a better understanding of how to gain and restore employees’ trust to make HR Blog a trusted and effective system in the workplace.
{"title":"The dark side of HR blog in the workplace: investigating the employees’ trust factors affecting using HR blog","authors":"Mohamed Mohiya, F. Caputo","doi":"10.1108/vjikms-09-2022-0299","DOIUrl":"https://doi.org/10.1108/vjikms-09-2022-0299","url":null,"abstract":"\u0000Purpose\u0000HR Blog is one of the social technologies systems to allow employees to voice the issues they experience. However, employees’ trust becomes an emerging issue to use HR Blog. This paper aims to investigate the impact level of employees’ trust in using HR Blog and identifying the causes affecting employees’ trust in using HR Blog. Social exchange theory (SET) was adopted as a vehicle to assist in identifying the employees’ trust causes. SET found serves the aim of research because it posits that the relationship between employees and HR Blog is built based on reciprocity, two-way of exchange.\u0000\u0000\u0000Design/methodology/approach\u0000The research adopts a qualitative method, namely, semi-structured interviews. The total number of conducted semi-structured interviews is 46, 38 interviews with HR Blog users and eight interviews with the management of HR Blog.\u0000\u0000\u0000Findings\u0000The present research found that HR Blog is distrusted by the vast majority of employees. The causes of HR Blog distrust were: functionality (mainly the placing the filtration process); lack of feedback and attention to employees in HR Blog; lack of providing tangible outcomes of HR Blog; and absence of HR Blog informative materials and clear guidelines.\u0000\u0000\u0000Originality/value\u0000This research lies in the fact that it is one of the first studies that focus on employees’ perspectives to empirically identify and investigate their trust factors affecting the use of HR Blog. The study achieved its aim in terms of gaining a better understanding of how to gain and restore employees’ trust to make HR Blog a trusted and effective system in the workplace.\u0000","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43932970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-21DOI: 10.1108/vjikms-07-2022-0217
Parinda Doshi, Priti Nigam, Bikramjit Rishi
Purpose This paper aims to validates a framework using the Uses and Gratifications Theory (UGT) to study the effect of values, i.e. Functional Value (FV), Social Value (SV), Emotional Value (EV) and Monetary Value (MV), on the Patronage Intention (PI) of Social Network Users (SNU’s) with mediating role of Perceived Usefulness (PU). Design/methodology/approach A survey method was used to collect responses from 302 SNUs, and the variance-based structural equation method was used to understand the relationships among the constructs. Findings The results found a significant positive effect of FV and EV on Perceived Usefulness (PU) and MV and PU on Patronage intention (PI) of SNUs. Further, PU partially mediated the relationship of EV with PI. Originality/value This study used the UGT to understand the effect of values on the PI of SNUs. This research study contributes to the existing social networks/social media literature.
{"title":"Customer values and patronage intention in social media networks: mediating role of perceived usefulness","authors":"Parinda Doshi, Priti Nigam, Bikramjit Rishi","doi":"10.1108/vjikms-07-2022-0217","DOIUrl":"https://doi.org/10.1108/vjikms-07-2022-0217","url":null,"abstract":"\u0000Purpose\u0000This paper aims to validates a framework using the Uses and Gratifications Theory (UGT) to study the effect of values, i.e. Functional Value (FV), Social Value (SV), Emotional Value (EV) and Monetary Value (MV), on the Patronage Intention (PI) of Social Network Users (SNU’s) with mediating role of Perceived Usefulness (PU).\u0000\u0000\u0000Design/methodology/approach\u0000A survey method was used to collect responses from 302 SNUs, and the variance-based structural equation method was used to understand the relationships among the constructs.\u0000\u0000\u0000Findings\u0000The results found a significant positive effect of FV and EV on Perceived Usefulness (PU) and MV and PU on Patronage intention (PI) of SNUs. Further, PU partially mediated the relationship of EV with PI.\u0000\u0000\u0000Originality/value\u0000This study used the UGT to understand the effect of values on the PI of SNUs. This research study contributes to the existing social networks/social media literature.\u0000","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47938128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-07DOI: 10.1108/vjikms-03-2023-318
Rayees Farooq, Debasis Dash, Sandeep Vij, M. Bashir
{"title":"Guest editorial: Role of knowledge management in turbulent times","authors":"Rayees Farooq, Debasis Dash, Sandeep Vij, M. Bashir","doi":"10.1108/vjikms-03-2023-318","DOIUrl":"https://doi.org/10.1108/vjikms-03-2023-318","url":null,"abstract":"","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44397920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Study of Technological Capability in Selected Rice Processing Firms in Nigeria","authors":"","doi":"10.7176/ikm/13-3-02","DOIUrl":"https://doi.org/10.7176/ikm/13-3-02","url":null,"abstract":"","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":"42 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75729281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Perceived Influence of Digital Competence on Knowledge Sharing Behaviour of College Librarians in the South-East and South-South Geo-Political Zones of Nigeria","authors":"","doi":"10.7176/ikm/13-3-03","DOIUrl":"https://doi.org/10.7176/ikm/13-3-03","url":null,"abstract":"","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":"49 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90037452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Attitude of Lagos Editors towards Use of Artificial Intelligence in News Management","authors":"","doi":"10.7176/ikm/13-3-01","DOIUrl":"https://doi.org/10.7176/ikm/13-3-01","url":null,"abstract":"","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":"14 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75395717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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