Pub Date : 2023-03-28DOI: 10.1108/gkmc-08-2022-0187
Antonijo Marijić, Marina Bagić Babac
Purpose Genre classification of songs based on lyrics is a challenging task even for humans, however, state-of-the-art natural language processing has recently offered advanced solutions to this task. The purpose of this study is to advance the understanding and application of natural language processing and deep learning in the domain of music genre classification, while also contributing to the broader themes of global knowledge and communication, and sustainable preservation of cultural heritage. Design/methodology/approach The main contribution of this study is the development and evaluation of various machine and deep learning models for song genre classification. Additionally, we investigated the effect of different word embeddings, including Global Vectors for Word Representation (GloVe) and Word2Vec, on the classification performance. The tested models range from benchmarks such as logistic regression, support vector machine and random forest, to more complex neural network architectures and transformer-based models, such as recurrent neural network, long short-term memory, bidirectional long short-term memory and bidirectional encoder representations from transformers (BERT). Findings The authors conducted experiments on both English and multilingual data sets for genre classification. The results show that the BERT model achieved the best accuracy on the English data set, whereas cross-lingual language model pretraining based on RoBERTa (XLM-RoBERTa) performed the best on the multilingual data set. This study found that songs in the metal genre were the most accurately labeled, as their text style and topics were the most distinct from other genres. On the contrary, songs from the pop and rock genres were more challenging to differentiate. This study also compared the impact of different word embeddings on the classification task and found that models with GloVe word embeddings outperformed Word2Vec and the learning embedding layer. Originality/value This study presents the implementation, testing and comparison of various machine and deep learning models for genre classification. The results demonstrate that transformer models, including BERT, robustly optimized BERT pretraining approach, distilled bidirectional encoder representations from transformers, bidirectional and auto-regressive transformers and XLM-RoBERTa, outperformed other models.
{"title":"Predicting song genre with deep learning","authors":"Antonijo Marijić, Marina Bagić Babac","doi":"10.1108/gkmc-08-2022-0187","DOIUrl":"https://doi.org/10.1108/gkmc-08-2022-0187","url":null,"abstract":"\u0000Purpose\u0000Genre classification of songs based on lyrics is a challenging task even for humans, however, state-of-the-art natural language processing has recently offered advanced solutions to this task. The purpose of this study is to advance the understanding and application of natural language processing and deep learning in the domain of music genre classification, while also contributing to the broader themes of global knowledge and communication, and sustainable preservation of cultural heritage.\u0000\u0000\u0000Design/methodology/approach\u0000The main contribution of this study is the development and evaluation of various machine and deep learning models for song genre classification. Additionally, we investigated the effect of different word embeddings, including Global Vectors for Word Representation (GloVe) and Word2Vec, on the classification performance. The tested models range from benchmarks such as logistic regression, support vector machine and random forest, to more complex neural network architectures and transformer-based models, such as recurrent neural network, long short-term memory, bidirectional long short-term memory and bidirectional encoder representations from transformers (BERT).\u0000\u0000\u0000Findings\u0000The authors conducted experiments on both English and multilingual data sets for genre classification. The results show that the BERT model achieved the best accuracy on the English data set, whereas cross-lingual language model pretraining based on RoBERTa (XLM-RoBERTa) performed the best on the multilingual data set. This study found that songs in the metal genre were the most accurately labeled, as their text style and topics were the most distinct from other genres. On the contrary, songs from the pop and rock genres were more challenging to differentiate. This study also compared the impact of different word embeddings on the classification task and found that models with GloVe word embeddings outperformed Word2Vec and the learning embedding layer.\u0000\u0000\u0000Originality/value\u0000This study presents the implementation, testing and comparison of various machine and deep learning models for genre classification. The results demonstrate that transformer models, including BERT, robustly optimized BERT pretraining approach, distilled bidirectional encoder representations from transformers, bidirectional and auto-regressive transformers and XLM-RoBERTa, outperformed other models.\u0000","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89165222","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 : 2023-03-24DOI: 10.1108/gkmc-08-2022-0190
A. Shehata, M. Al-Suqri, J. Alsalmi, Nour Eldin Elshaiekh Osman, Said Alrashdi, Mustafa Ali Khalaf
Purpose The purpose of this study is to investigate individuals’ perceptions and behavior when dealing with misinformation on social media platforms. While misinformation is not a new phenomenon, the COVID-19 outbreak has accelerated its spread through social media outlets, leading to widespread exposure to false or misleading information. This exposure can have serious consequences on individuals’ decision-making and behavior, especially when it comes to critical decisions related to education or healthcare. The use of social media as a source of information makes it essential to understand how people perceive and respond to misinformation to develop effective strategies for mitigating its harmful effects. Design/methodology/approach This large-scale study explores the Omani individuals’ perceptions and behaviour of misinformation on the social Web in a series of studies that seek to enhance the authorities’ response to misinformation. The study adopted a quantitative approach to collect data. Using WhatsApp as a social networking platform, a survey was disseminated to capture participants’ perceptions and behaviour among different segments of citizens in Oman. Findings The findings showed that Omani participants have high verification skills, implying high information literacy skills among them. Additionally, results indicated that misinformation had created doubt and anxiety among the participants. Moreover, it hindered many participants’ ability to take countermeasures and obtain reliable data. Originality/value This study was a large-scale study conducted in Oman, making it one of a few studies conducted in the region about perceptions and behaviour towards misinformation. The findings help to understand how different cultures interacted with COVID-19 misinformation. In addition, these findings offer useful insight that can help health information professionals to design preventive resources that help people to obtain accurate information during crises.
{"title":"An exploration of perceptions and use of misinformation on the social Web in Oman","authors":"A. Shehata, M. Al-Suqri, J. Alsalmi, Nour Eldin Elshaiekh Osman, Said Alrashdi, Mustafa Ali Khalaf","doi":"10.1108/gkmc-08-2022-0190","DOIUrl":"https://doi.org/10.1108/gkmc-08-2022-0190","url":null,"abstract":"Purpose\u0000The purpose of this study is to investigate individuals’ perceptions and behavior when dealing with misinformation on social media platforms. While misinformation is not a new phenomenon, the COVID-19 outbreak has accelerated its spread through social media outlets, leading to widespread exposure to false or misleading information. This exposure can have serious consequences on individuals’ decision-making and behavior, especially when it comes to critical decisions related to education or healthcare. The use of social media as a source of information makes it essential to understand how people perceive and respond to misinformation to develop effective strategies for mitigating its harmful effects.\u0000\u0000\u0000Design/methodology/approach\u0000This large-scale study explores the Omani individuals’ perceptions and behaviour of misinformation on the social Web in a series of studies that seek to enhance the authorities’ response to misinformation. The study adopted a quantitative approach to collect data. Using WhatsApp as a social networking platform, a survey was disseminated to capture participants’ perceptions and behaviour among different segments of citizens in Oman.\u0000\u0000\u0000Findings\u0000The findings showed that Omani participants have high verification skills, implying high information literacy skills among them. Additionally, results indicated that misinformation had created doubt and anxiety among the participants. Moreover, it hindered many participants’ ability to take countermeasures and obtain reliable data.\u0000\u0000\u0000Originality/value\u0000This study was a large-scale study conducted in Oman, making it one of a few studies conducted in the region about perceptions and behaviour towards misinformation. The findings help to understand how different cultures interacted with COVID-19 misinformation. In addition, these findings offer useful insight that can help health information professionals to design preventive resources that help people to obtain accurate information during crises.","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89774229","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/gkmc-11-2022-0267
Zhenxing Gong, F. Gilal, R. Gilal, A. Jahanzeb
Purpose Protean career orientation is a key element that helps explain why workers plan and manage their careers. In the field of nursing, a protean career orientation assists nurses in job search, career mobility and adapting to changing demands. Few studies have explored how nurses’ protean career orientation will lead to job search and how to make better use of the protean career orientation. This study aims to explore how a protean career orientation influences job search via career optimism and the moderating role of mentoring relationships. Design/methodology/approach This study conducted a cross-sectional survey of 309 frontline nurses from China. The questionnaire was distributed to nurses through the snowball sampling method. Jamovi 1.2.2 was used for descriptive analysis and Pearson’s correlation analysis. The relationships between the variables and their significance were tested using Process Macro 3.3. Findings Results show that protean career orientation was significantly related to career optimism and positively related to job search. Career optimism was significantly related to job search. The indirect effect of protean career orientation on job search through career optimism was significant. The interaction between protean career orientation and mentoring relationships was also significantly related to career optimism. Originality/value To the best of the authors’ knowledge, this study is the first to demonstrate how nurses’ flexible career orientation significantly impacted job search through nurses’ career optimism. If nurses work in supportive mentoring relationships, the positive effect of the nurse’s protean career orientation on the job search is decreased.
{"title":"Protean career orientation and job search: investigating the mediating role of career optimism in mentoring relationships","authors":"Zhenxing Gong, F. Gilal, R. Gilal, A. Jahanzeb","doi":"10.1108/gkmc-11-2022-0267","DOIUrl":"https://doi.org/10.1108/gkmc-11-2022-0267","url":null,"abstract":"\u0000Purpose\u0000Protean career orientation is a key element that helps explain why workers plan and manage their careers. In the field of nursing, a protean career orientation assists nurses in job search, career mobility and adapting to changing demands. Few studies have explored how nurses’ protean career orientation will lead to job search and how to make better use of the protean career orientation. This study aims to explore how a protean career orientation influences job search via career optimism and the moderating role of mentoring relationships.\u0000\u0000\u0000Design/methodology/approach\u0000This study conducted a cross-sectional survey of 309 frontline nurses from China. The questionnaire was distributed to nurses through the snowball sampling method. Jamovi 1.2.2 was used for descriptive analysis and Pearson’s correlation analysis. The relationships between the variables and their significance were tested using Process Macro 3.3.\u0000\u0000\u0000Findings\u0000Results show that protean career orientation was significantly related to career optimism and positively related to job search. Career optimism was significantly related to job search. The indirect effect of protean career orientation on job search through career optimism was significant. The interaction between protean career orientation and mentoring relationships was also significantly related to career optimism.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this study is the first to demonstrate how nurses’ flexible career orientation significantly impacted job search through nurses’ career optimism. If nurses work in supportive mentoring relationships, the positive effect of the nurse’s protean career orientation on the job search is decreased.\u0000","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76966921","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/gkmc-09-2022-0224
Md. Atikuzzaman, S. Yesmin, Md. Abdul Karim
Purpose This study aims to assess tribal women’s health information literacy in their daily lives. The specific objectives are to determine the tribe’s interest and frequency of seeking health-related information, to know their preferred health information sources and health-care methods for treatment and to find out the prospective barriers to searching for and finding health-related information. Design/methodology/approach A well-structured questionnaire was designed and surveyed among the tribal women of Khagrachhari, Bandarban and Mymensingh districts in Bangladesh. Stratified sampling was used, and 326 responses were retrieved. The collected data were analyzed using Statistical Package for Social Sciences version 20 and Microsoft Excel. Findings Most of the tribal women are satisfied with their current health condition. Though they are highly interested in health-related information, they are very unusual in terms of searching for this kind of information. Vaccination information is their most desired information, and allopathic treatment is highly preferred by them. In this regard, they consult with doctors at nearby community clinics or government hospitals for different health issues. However, health information terminologies are often difficult for them to understand. High costs, lack of awareness and distance from health centers are significant barriers for tribal women seeking health-related information. Originality/value To the best of the authors’ knowledge, this is the first known effort in a developing country to study tribal women’s concerns regarding health-related issues.
目的本研究旨在评估部落妇女在日常生活中的健康信息素养。具体目标是确定部落寻求健康相关信息的兴趣和频率，了解他们首选的健康信息来源和保健治疗方法，并找出搜索和发现健康相关信息的潜在障碍。设计/方法/方法在孟加拉国Khagrachhari、Bandarban和Mymensingh地区的部落妇女中设计和调查了一份结构良好的问卷。采用分层抽样的方法，回收了326份回复。收集的数据使用Statistical Package for Social Sciences version 20和Microsoft Excel进行分析。大多数部落妇女对自己目前的健康状况感到满意。虽然他们对健康相关信息非常感兴趣，但在搜索这类信息方面，他们是非常不寻常的。疫苗接种信息是他们最需要的信息，对抗疗法治疗是他们的首选。在这方面，他们向附近的社区诊所或政府医院的医生咨询各种健康问题。然而，卫生信息术语对他们来说往往难以理解。高昂的费用、缺乏认识和远离保健中心是部落妇女寻求与健康有关的信息的重大障碍。原创性/价值据作者所知，这是在发展中国家首次研究部落妇女对健康相关问题的关注。
{"title":"Measuring health information literacy in everyday life: a survey among tribal women in a developing country","authors":"Md. Atikuzzaman, S. Yesmin, Md. Abdul Karim","doi":"10.1108/gkmc-09-2022-0224","DOIUrl":"https://doi.org/10.1108/gkmc-09-2022-0224","url":null,"abstract":"\u0000Purpose\u0000This study aims to assess tribal women’s health information literacy in their daily lives. The specific objectives are to determine the tribe’s interest and frequency of seeking health-related information, to know their preferred health information sources and health-care methods for treatment and to find out the prospective barriers to searching for and finding health-related information.\u0000\u0000\u0000Design/methodology/approach\u0000A well-structured questionnaire was designed and surveyed among the tribal women of Khagrachhari, Bandarban and Mymensingh districts in Bangladesh. Stratified sampling was used, and 326 responses were retrieved. The collected data were analyzed using Statistical Package for Social Sciences version 20 and Microsoft Excel.\u0000\u0000\u0000Findings\u0000Most of the tribal women are satisfied with their current health condition. Though they are highly interested in health-related information, they are very unusual in terms of searching for this kind of information. Vaccination information is their most desired information, and allopathic treatment is highly preferred by them. In this regard, they consult with doctors at nearby community clinics or government hospitals for different health issues. However, health information terminologies are often difficult for them to understand. High costs, lack of awareness and distance from health centers are significant barriers for tribal women seeking health-related information.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this is the first known effort in a developing country to study tribal women’s concerns regarding health-related issues.\u0000","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81232007","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/gkmc-06-2022-0127
Memoona Iqbal, Muhammad Rafiq
Purpose The purpose of this study is to execute the application of confirmatory factor analysis in structural equation modeling, to investigate the reliability and validity of the proposed integrated digital library user success (IDLUS) scale in academic digital library computing information system in the area of information management and systems. Design/methodology/approach The study analyzed 355 valid responses (MPhil and PhD) from the largest and oldest public sector university in Pakistan. Sample selection was calculated through a stratified random sampling technique from the four faculties of the University of the Punjab. The instrument was constructed based on the available two digital library and information system success models. The first model is Jung’s (1997) digital library user success model that is further composed of flow model (1977), end user computing satisfaction model (1987) and Joshi’s overall user satisfaction model (1990). Similarly, the second model is DeLone and McLean’s reformulated information system success (2003) theory. The question items used a five-point Likert scale and executed regression weights, standardized regression weights, convergent validity, variance extracted, construct reliability and discriminant validity to infer results. Findings Findings show that the IDLUS scale has excellent validity and reliability estimates. Research limitations/implications The study has theoretical implications for researchers and practical implications for information system developers. Originality/value To the best of the authors’ knowledge, this scale is the first-ever effort to measure the digital library user success in the context of Higher Education Commission-National Digital Library of Pakistan. Therefore, there was a dire need to conduct the psychometric analysis of the scale to examine the model fit statistics on the current sample in the particular cultural norms. Scale is based upon human factors taken from various Web success and information system success models from the fields of human–computer interaction information systems and computer-mediated communication.
{"title":"Psychometric analysis of Integrated Digital Library User Success (IDLUS) Scale in academic digital library environment","authors":"Memoona Iqbal, Muhammad Rafiq","doi":"10.1108/gkmc-06-2022-0127","DOIUrl":"https://doi.org/10.1108/gkmc-06-2022-0127","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to execute the application of confirmatory factor analysis in structural equation modeling, to investigate the reliability and validity of the proposed integrated digital library user success (IDLUS) scale in academic digital library computing information system in the area of information management and systems.\u0000\u0000\u0000Design/methodology/approach\u0000The study analyzed 355 valid responses (MPhil and PhD) from the largest and oldest public sector university in Pakistan. Sample selection was calculated through a stratified random sampling technique from the four faculties of the University of the Punjab. The instrument was constructed based on the available two digital library and information system success models. The first model is Jung’s (1997) digital library user success model that is further composed of flow model (1977), end user computing satisfaction model (1987) and Joshi’s overall user satisfaction model (1990). Similarly, the second model is DeLone and McLean’s reformulated information system success (2003) theory. The question items used a five-point Likert scale and executed regression weights, standardized regression weights, convergent validity, variance extracted, construct reliability and discriminant validity to infer results.\u0000\u0000\u0000Findings\u0000Findings show that the IDLUS scale has excellent validity and reliability estimates.\u0000\u0000\u0000Research limitations/implications\u0000The study has theoretical implications for researchers and practical implications for information system developers.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this scale is the first-ever effort to measure the digital library user success in the context of Higher Education Commission-National Digital Library of Pakistan. Therefore, there was a dire need to conduct the psychometric analysis of the scale to examine the model fit statistics on the current sample in the particular cultural norms. Scale is based upon human factors taken from various Web success and information system success models from the fields of human–computer interaction information systems and computer-mediated communication.\u0000","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83741827","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 : 2023-03-20DOI: 10.1108/gkmc-10-2022-0234
Sibongile Ngwenya, O. B. Onyancha
Purpose This paper aims to explore the diffusion of Intellectual Property (IP) knowledge in universities in Zimbabwe. Specifically, the study examines the tools, policies, programmes and unique strategies used by the universities. Design/methodology/approach The paper reports the findings of a survey that was conducted on a population of lecturers (1,546), research officers (RO) (11), IP officer (1), faculty librarians (FLs) (27) and final year undergraduate students (9,224) at universities in Zimbabwe. Questionnaires were administered to the lecturers and students while interviews were administered to the IP officer, ROs and FLs. Data analysis comprised the use of Google forms and Microsoft Excel software. Findings The findings reveal diffusing IP knowledge in Zimbabwean universities involves mainly the use of policies and regulations, library web pages, workshops, although not specifically on IP, presentations on IP in the university, advice and guidance services and IP lectures/teaching. Research limitations/implications This study presents the IP situation in Zimbabwe and its findings may be applied to Africa and other developing countries. Practical implications This study endorses IP as a national issue and suggests a benchmark for diffusing knowledge on IP in Zimbabwean universities. Originality/value This study acknowledges the multi-disciplinary nature of IP and should lead to all university students graduating with adequate knowledge on IP.
{"title":"Diffusion of intellectual property knowledge in Zimbabwean universities: tools, programmes and strategies","authors":"Sibongile Ngwenya, O. B. Onyancha","doi":"10.1108/gkmc-10-2022-0234","DOIUrl":"https://doi.org/10.1108/gkmc-10-2022-0234","url":null,"abstract":"\u0000Purpose\u0000This paper aims to explore the diffusion of Intellectual Property (IP) knowledge in universities in Zimbabwe. Specifically, the study examines the tools, policies, programmes and unique strategies used by the universities.\u0000\u0000\u0000Design/methodology/approach\u0000The paper reports the findings of a survey that was conducted on a population of lecturers (1,546), research officers (RO) (11), IP officer (1), faculty librarians (FLs) (27) and final year undergraduate students (9,224) at universities in Zimbabwe. Questionnaires were administered to the lecturers and students while interviews were administered to the IP officer, ROs and FLs. Data analysis comprised the use of Google forms and Microsoft Excel software.\u0000\u0000\u0000Findings\u0000The findings reveal diffusing IP knowledge in Zimbabwean universities involves mainly the use of policies and regulations, library web pages, workshops, although not specifically on IP, presentations on IP in the university, advice and guidance services and IP lectures/teaching.\u0000\u0000\u0000Research limitations/implications\u0000This study presents the IP situation in Zimbabwe and its findings may be applied to Africa and other developing countries.\u0000\u0000\u0000Practical implications\u0000This study endorses IP as a national issue and suggests a benchmark for diffusing knowledge on IP in Zimbabwean universities.\u0000\u0000\u0000Originality/value\u0000This study acknowledges the multi-disciplinary nature of IP and should lead to all university students graduating with adequate knowledge on IP.\u0000","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81681256","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 : 2023-03-14DOI: 10.1108/gkmc-09-2022-0212
Sumanta Deb, Ruchi Jain, S. Manohar, S. Marwah
Purpose Usage of updated technology is continuously empowering customer relationship management (CRM) to be convenient and user friendly, where customers are kept engaged with knowledge and information. This enables them on decision-making and managing their portfolio, especially in mutual fund investments. To improve toward a positive decision, certain quality related variables needed to be considered. Thus, this study aims to estimate the mediation effect of relationship quality and outcome (RQO) between CRM and investment decision-making in mutual funds (MFD). Design/methodology/approach The descriptive study adopted the constructs from existing empirical literatures to conceptualize the model with three higher order constructs with 12 dimensions. Survey method is used, and with a structured questionnaire, a total of 323 mutual fund investors were approached using nonprobability criterion sampling technique, of which 262 relevant responses were considered for estimating the structural model. Smart PLS was used to establish the relationship of the constructs. Findings The result emphasizes a significant direct and indirect relationship indicating that investors are more inclined to MFD through technology-enabled CRM and RQO plays a vital role in explaining the direct relationship between CRM and MFD. The results of the study are in-line with the existing literature. Practical implications The study highlights that financial institutions must focus not only on technological diffusion but also needs to ensure quality service by providing knowledge and information during every access of transactions by customers, making them independent and confident during investments. Originality/value This study indicates how capacity efficiency, which is a part of service productivity, can be managed without affecting the outcome efficiency by incorporating technology in the place of human interaction during relationship acquiring and retaining process.
{"title":"A study on mediation effect of relationship quality outcome between customer relationship management and mutual fund decision","authors":"Sumanta Deb, Ruchi Jain, S. Manohar, S. Marwah","doi":"10.1108/gkmc-09-2022-0212","DOIUrl":"https://doi.org/10.1108/gkmc-09-2022-0212","url":null,"abstract":"\u0000Purpose\u0000Usage of updated technology is continuously empowering customer relationship management (CRM) to be convenient and user friendly, where customers are kept engaged with knowledge and information. This enables them on decision-making and managing their portfolio, especially in mutual fund investments. To improve toward a positive decision, certain quality related variables needed to be considered. Thus, this study aims to estimate the mediation effect of relationship quality and outcome (RQO) between CRM and investment decision-making in mutual funds (MFD).\u0000\u0000\u0000Design/methodology/approach\u0000The descriptive study adopted the constructs from existing empirical literatures to conceptualize the model with three higher order constructs with 12 dimensions. Survey method is used, and with a structured questionnaire, a total of 323 mutual fund investors were approached using nonprobability criterion sampling technique, of which 262 relevant responses were considered for estimating the structural model. Smart PLS was used to establish the relationship of the constructs.\u0000\u0000\u0000Findings\u0000The result emphasizes a significant direct and indirect relationship indicating that investors are more inclined to MFD through technology-enabled CRM and RQO plays a vital role in explaining the direct relationship between CRM and MFD. The results of the study are in-line with the existing literature.\u0000\u0000\u0000Practical implications\u0000The study highlights that financial institutions must focus not only on technological diffusion but also needs to ensure quality service by providing knowledge and information during every access of transactions by customers, making them independent and confident during investments.\u0000\u0000\u0000Originality/value\u0000This study indicates how capacity efficiency, which is a part of service productivity, can be managed without affecting the outcome efficiency by incorporating technology in the place of human interaction during relationship acquiring and retaining process.\u0000","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83450720","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 : 2023-03-14DOI: 10.1108/gkmc-12-2022-0279
Muhammad Mumtaz Khan, M. Mubarik, Syed Saad Ahmed, Tahir Islam
Purpose This study aims to ascertain the role of servant leadership in affecting the knowledge hiding behavior of employees. This study also unfurled the mediating role of prosocial motivation and moderating role of cynicism. Design/methodology/approach The data were collected from 324 employees working in the IT sector, a subsector of the service sector of Pakistan in two phases. The data was analyzed through hierarchal regression. Findings This study found servant leadership to be negatively related to knowledge hiding behavior. This study also confirmed the mediating role of prosocial motivation linking servant leadership to knowledge hiding. Finally, cynicism was found to moderate the relationship between servant leadership and knowledge hiding behavior. Originality/value This academic endeavor has confirmed the previously unexplored relationship between servant leadership and knowledge hiding behavior. Additionally, the study has explicated the mediating role of prosocial motivation in the said relationship. This study has also found that the relationship between servant leadership and knowledge hiding is moderated by organizational cynicism.
{"title":"Service inhibited knowledge hiding: exploring how and when servant leadership inhibits knowledge hiding","authors":"Muhammad Mumtaz Khan, M. Mubarik, Syed Saad Ahmed, Tahir Islam","doi":"10.1108/gkmc-12-2022-0279","DOIUrl":"https://doi.org/10.1108/gkmc-12-2022-0279","url":null,"abstract":"\u0000Purpose\u0000This study aims to ascertain the role of servant leadership in affecting the knowledge hiding behavior of employees. This study also unfurled the mediating role of prosocial motivation and moderating role of cynicism.\u0000\u0000\u0000Design/methodology/approach\u0000The data were collected from 324 employees working in the IT sector, a subsector of the service sector of Pakistan in two phases. The data was analyzed through hierarchal regression.\u0000\u0000\u0000Findings\u0000This study found servant leadership to be negatively related to knowledge hiding behavior. This study also confirmed the mediating role of prosocial motivation linking servant leadership to knowledge hiding. Finally, cynicism was found to moderate the relationship between servant leadership and knowledge hiding behavior.\u0000\u0000\u0000Originality/value\u0000This academic endeavor has confirmed the previously unexplored relationship between servant leadership and knowledge hiding behavior. Additionally, the study has explicated the mediating role of prosocial motivation in the said relationship. This study has also found that the relationship between servant leadership and knowledge hiding is moderated by organizational cynicism.\u0000","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88458478","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 : 2023-03-14DOI: 10.1108/gkmc-08-2022-0195
Ouma Malatji, N. Marutha
Purpose This study aims to investigate a framework for implementation of legislative framework governing records management throughout the life cycle in the Limpopo provincial government of South Africa. Design/methodology/approach This quantitative multi-method study used a semi-structured questionnaire, document analysis and interviews to collect data. The dominant approach was quantitative, with some support from limited qualitative data, which served to clarify the statistical data. No sampling method was applied, as the study targeted the entire population of 135 records management participants from the provincial departments with the questionnaire, while nine participants from provincial archives participated in interviews. Findings The study revealed that the role of the provincial archives in enforcing compliance with legislative frameworks for the proper management of records was always disrupted by a lack of key resources such as staffing, for inspecting and training records-creating departments and working resources at the departmental levels. Research limitations/implications The findings will contribute to the field in respect of future studies into compliance with records management legislation, and the proposed framework may be applied as a theoretical basis for, or part of, a conceptual framework. Practical implications The study will serve as a resource or benchmark for archivists and records management professionals in the industry, as they count amongst the policymakers who find ways of monitoring, evaluating and enforcing compliance with the legislation governing proper records management. Social implications The proper implementation of recommendations from this study will lead to significant improvements in the management of records with enduring value, allowing them to finally be transferred to an archival repository to serve the public interest as heritage, national memory, or resources for researchers and authors, amongst others. Originality/value The study proposes a framework for implementation of legislation governing records management with greater ease in the Limpopo provincial government of South Africa.
{"title":"Implementation of legislative framework governing records management throughout the life cycle in the Limpopo provincial government of South Africa","authors":"Ouma Malatji, N. Marutha","doi":"10.1108/gkmc-08-2022-0195","DOIUrl":"https://doi.org/10.1108/gkmc-08-2022-0195","url":null,"abstract":"\u0000Purpose\u0000This study aims to investigate a framework for implementation of legislative framework governing records management throughout the life cycle in the Limpopo provincial government of South Africa.\u0000\u0000\u0000Design/methodology/approach\u0000This quantitative multi-method study used a semi-structured questionnaire, document analysis and interviews to collect data. The dominant approach was quantitative, with some support from limited qualitative data, which served to clarify the statistical data. No sampling method was applied, as the study targeted the entire population of 135 records management participants from the provincial departments with the questionnaire, while nine participants from provincial archives participated in interviews.\u0000\u0000\u0000Findings\u0000The study revealed that the role of the provincial archives in enforcing compliance with legislative frameworks for the proper management of records was always disrupted by a lack of key resources such as staffing, for inspecting and training records-creating departments and working resources at the departmental levels.\u0000\u0000\u0000Research limitations/implications\u0000The findings will contribute to the field in respect of future studies into compliance with records management legislation, and the proposed framework may be applied as a theoretical basis for, or part of, a conceptual framework.\u0000\u0000\u0000Practical implications\u0000The study will serve as a resource or benchmark for archivists and records management professionals in the industry, as they count amongst the policymakers who find ways of monitoring, evaluating and enforcing compliance with the legislation governing proper records management.\u0000\u0000\u0000Social implications\u0000The proper implementation of recommendations from this study will lead to significant improvements in the management of records with enduring value, allowing them to finally be transferred to an archival repository to serve the public interest as heritage, national memory, or resources for researchers and authors, amongst others.\u0000\u0000\u0000Originality/value\u0000The study proposes a framework for implementation of legislation governing records management with greater ease in the Limpopo provincial government of South Africa.\u0000","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84850986","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/gkmc-10-2022-0239
A. Singla, R. Agrawal
Purpose This study aims to propose iStage, i.e. an intelligent hybrid deep learning (DL)-based framework to determine the stage of the disaster to make the right decisions at the right time. Design/methodology/approach iStage acquires data from the Twitter platform and identifies the social media message as pre, during, post-disaster or irrelevant. To demonstrate the effectiveness of iStage, it is applied on cyclonic and COVID-19 disasters. The considered disaster data sets are cyclone Fani, cyclone Titli, cyclone Amphan, cyclone Nisarga and COVID-19. Findings The experimental results demonstrate that the iStage outperforms Long Short-Term Memory Network and Convolutional Neural Network models. The proposed approach returns the best possible solution among existing research studies considering different evaluation metrics – accuracy, precision, recall, f-score, the area under receiver operating characteristic curve and the area under precision-recall curve. Originality/value iStage is built using the hybrid architecture of DL models. It is effective in decision-making. The research study helps coordinate disaster activities in a more targeted and timely manner.
{"title":"iStage: a deep learning based framework to determine the stage of disaster management cycle from a social media message","authors":"A. Singla, R. Agrawal","doi":"10.1108/gkmc-10-2022-0239","DOIUrl":"https://doi.org/10.1108/gkmc-10-2022-0239","url":null,"abstract":"\u0000Purpose\u0000This study aims to propose iStage, i.e. an intelligent hybrid deep learning (DL)-based framework to determine the stage of the disaster to make the right decisions at the right time.\u0000\u0000\u0000Design/methodology/approach\u0000iStage acquires data from the Twitter platform and identifies the social media message as pre, during, post-disaster or irrelevant. To demonstrate the effectiveness of iStage, it is applied on cyclonic and COVID-19 disasters. The considered disaster data sets are cyclone Fani, cyclone Titli, cyclone Amphan, cyclone Nisarga and COVID-19.\u0000\u0000\u0000Findings\u0000The experimental results demonstrate that the iStage outperforms Long Short-Term Memory Network and Convolutional Neural Network models. The proposed approach returns the best possible solution among existing research studies considering different evaluation metrics – accuracy, precision, recall, f-score, the area under receiver operating characteristic curve and the area under precision-recall curve.\u0000\u0000\u0000Originality/value\u0000iStage is built using the hybrid architecture of DL models. It is effective in decision-making. The research study helps coordinate disaster activities in a more targeted and timely manner.\u0000","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75390917","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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