Aleksandra Sobodić, Igor Balaban, Danijel Filipović
This study aims to evaluate the ways that the actual usage of a platform for digital competence acquisition, evaluation and certification contributes to satisfaction and perceived success of students in primary and secondary schools. A cross-sectional survey was implemented online to collect 1725 students’ answers in six European countries. The analysis of collected data was carried out by employing Pearson correlation, Partial least squares structural equation modelling (PLS-SEM) and Importance-performance map analysis (IPMA). Findings indicated that the usage of such a platform has greater effects on the impacts than on students’ satisfaction. Detailed analysis of correlations revealed that students’ decision on whether they will use the platform in the future greatly depends on how it contributes to the success of their learning processes. Results also suggest that teachers are seen as an inevitable part of such a process and are mandatory to achieve the full potential of the platform.
{"title":"Exploring Students’ Perspective of a Platform for Digital Competence Acquisition in Schools","authors":"Aleksandra Sobodić, Igor Balaban, Danijel Filipović","doi":"10.31341/jios.46.1.11","DOIUrl":"https://doi.org/10.31341/jios.46.1.11","url":null,"abstract":"This study aims to evaluate the ways that the actual usage of a platform for digital competence acquisition, evaluation and certification contributes to satisfaction and perceived success of students in primary and secondary schools. A cross-sectional survey was implemented online to collect 1725 students’ answers in six European countries. The analysis of collected data was carried out by employing Pearson correlation, Partial least squares structural equation modelling (PLS-SEM) and Importance-performance map analysis (IPMA). Findings indicated that the usage of such a platform has greater effects on the impacts than on students’ satisfaction. Detailed analysis of correlations revealed that students’ decision on whether they will use the platform in the future greatly depends on how it contributes to the success of their learning processes. Results also suggest that teachers are seen as an inevitable part of such a process and are mandatory to achieve the full potential of the platform.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48223160","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}
Ivona Miholić, Marina Klačmer Čalopa, Ivana Đunđek Kokotec
The composition of supervisory and board of directors in companies is extremely important for the successful operation of companies. Nowadays, women in the workplace, and especially in management positions, encounter a form of discrimination that has its own professional name - the phenomenon of "glass ceiling". Therefore, it is very important to analyze the representation of women and men on the company’s supervisory board and board of directors. This paper will explain women's leadership style, differences between men's and women's leadership style, and the problems that women in employment, and especially in promotion. The aim off this paper is to determine whether the “glass ceiling” phenomenon is prominent in Croatian companies and to what extent. In addition, women’s representation in senior positions will be related to business performance criteria.
{"title":"The Contribution of Women on Corporate Boards","authors":"Ivona Miholić, Marina Klačmer Čalopa, Ivana Đunđek Kokotec","doi":"10.31341/jios.46.1.13","DOIUrl":"https://doi.org/10.31341/jios.46.1.13","url":null,"abstract":"The composition of supervisory and board of directors in companies is extremely important for the successful operation of companies. Nowadays, women in the workplace, and especially in management positions, encounter a form of discrimination that has its own professional name - the phenomenon of \"glass ceiling\". Therefore, it is very important to analyze the representation of women and men on the company’s supervisory board and board of directors. This paper will explain women's leadership style, differences between men's and women's leadership style, and the problems that women in employment, and especially in promotion. The aim off this paper is to determine whether the “glass ceiling” phenomenon is prominent in Croatian companies and to what extent. In addition, women’s representation in senior positions will be related to business performance criteria.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43240884","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}
The study analysed Croatian journals covered by Web of Science (WoS) Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI) over three time periods. The first two periods were the periods of inclusion of Croatian journals in SCIE/SSCI, and the third period was the period of exclusion of journals. In 1999, there were 12 Croatian journals indexed, and in 2011, mostly as a result of the WoS Regional Expansion Programme, there were 50 Croatian journals covered by SCIE/SSCI. The IF range of the Croatian journals showed an increase over the years from 1999 to 2011, but most journals remained in the fourth quartile (Q4). Although Croatia is considered as a country from the scientific periphery, in comparison with neighbouring Italy, Hungary, Slovenia, and Serbia in 2005, 2011, and 2018, Croatia had a permanently strong journal representation in JCR.
{"title":"Croatian Journals Covered by SCIE/SSCI","authors":"Martina Čuljak","doi":"10.31341/jios.46.1.3","DOIUrl":"https://doi.org/10.31341/jios.46.1.3","url":null,"abstract":"The study analysed Croatian journals covered by Web of Science (WoS) Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI) over three time periods. The first two periods were the periods of inclusion of Croatian journals in SCIE/SSCI, and the third period was the period of exclusion of journals. In 1999, there were 12 Croatian journals indexed, and in 2011, mostly as a result of the WoS Regional Expansion Programme, there were 50 Croatian journals covered by SCIE/SSCI. The IF range of the Croatian journals showed an increase over the years from 1999 to 2011, but most journals remained in the fourth quartile (Q4). Although Croatia is considered as a country from the scientific periphery, in comparison with neighbouring Italy, Hungary, Slovenia, and Serbia in 2005, 2011, and 2018, Croatia had a permanently strong journal representation in JCR.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43411590","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}
Scientometrics is one of the most important scales for evaluating scientific outputs. Co-word and social network analysis (SNA) were used to investigate relationships in the field of social accounting researches indexed on Scopus. The findings of the study indicate that the most frequent topics and vocabulary in this area is economic analysis, economic and social effects. Moreover, the most valuable subject areas were identified: based on closeness, they are water resources, tourism economics and structural adjustment. Based on centrality, economic impact, economic analysis, environmental economics and income distribution. The results of the study indicate that many important social and environmental issues can be assessed through social accounting. Co-authorship analysis revealed that the co-authorship network in this domain was discrete and with low density. By utilizing the co-occurrence map, researchers and policymakers can make policy making more effective through being aware of the research trends and hot topics in social accounting.
{"title":"Scientific Mapping of Social Accounting using Research Indexed in Scientific Databases","authors":"A. Sadabadi, S. Ramezani, K. Fartash","doi":"10.31341/jios.46.1.2","DOIUrl":"https://doi.org/10.31341/jios.46.1.2","url":null,"abstract":"Scientometrics is one of the most important scales for evaluating scientific outputs. Co-word and social network analysis (SNA) were used to investigate relationships in the field of social accounting researches indexed on Scopus. The findings of the study indicate that the most frequent topics and vocabulary in this area is economic analysis, economic and social effects. Moreover, the most valuable subject areas were identified: based on closeness, they are water resources, tourism economics and structural adjustment. Based on centrality, economic impact, economic analysis, environmental economics and income distribution. The results of the study indicate that many important social and environmental issues can be assessed through social accounting. Co-authorship analysis revealed that the co-authorship network in this domain was discrete and with low density. By utilizing the co-occurrence map, researchers and policymakers can make policy making more effective through being aware of the research trends and hot topics in social accounting.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49096005","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}
One of the predominant challenges facing banks in low resource countries is the management of Digital Financial Services (DFS) risks. Many banks are making worthwhile efforts to boost the factors that make them come on top of the challenges, unfortunately they have fallen short. This article sought to develop an e-risk management framework for DFS in Ugandan banks. Design Science Research paradigm, a mono-method qualitative research method and a case study research strategy was adopted. Questionnaires, interviews and document review were the main data collection methods. Findings from this study indicate that banks in Uganda use a handful of DFS business models and face a number of DFS risks including; talent for DFS, technology, strategy, governance, product, client acquisition, crime/fraud, regulation, and agent management among others. Notwithstanding, Ugandan banks should carefully balance IT spend across customer expectations, improve cybersecurity and internal process and regularly check its IT security.
{"title":"Towards an Improved Framework for E-Risk Management for Digital Financial Services (DFS) in Ugandan Banks","authors":"A. Arim, Joseph Wamema","doi":"10.31341/jios.46.1.6","DOIUrl":"https://doi.org/10.31341/jios.46.1.6","url":null,"abstract":"One of the predominant challenges facing banks in low resource countries is the management of Digital Financial Services (DFS) risks. Many banks are making worthwhile efforts to boost the factors that make them come on top of the challenges, unfortunately they have fallen short. This article sought to develop an e-risk management framework for DFS in Ugandan banks. Design Science Research paradigm, a mono-method qualitative research method and a case study research strategy was adopted. Questionnaires, interviews and document review were the main data collection methods. Findings from this study indicate that banks in Uganda use a handful of DFS business models and face a number of DFS risks including; talent for DFS, technology, strategy, governance, product, client acquisition, crime/fraud, regulation, and agent management among others. Notwithstanding, Ugandan banks should carefully balance IT spend across customer expectations, improve cybersecurity and internal process and regularly check its IT security.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43877130","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}
Machine learning has been useful for prediction in the various sectors of the economy. The research work proposed an ensemble SA-CCT machine learning algorithm that gives early and accurate prediction of blackpod disease to farmers and agricultural extension officers in South-West, Nigeria. Since data mining put into consideration the types of pattern in a given dataset, the study considered the pattern in climatic dataset retrieved from Nigeria Meteorological agency (NIMET). The proposed model uses climatic parameters (Rainfall and Temperature) to predict the outbreak of blackpod disease. The ensemble SA-CCT model was formulated by hybridizing a linear algorithm Seasonal Auto Regressive Integrated Moving Average (SARIMA) and a nonlinear algorithm Compact Classification Tree (CCT), the implementation was done with python programming. The proposed SA-CCT model gives the following results after evaluation. Precision: 0.9429, Recall 0.9167, Mean Square Error: 0.2357, Accuracy: 0.9444
{"title":"Early Cocoa Blackpod Pathogen Prediction with Machine Learning Ensemble Algorithm based on Climatic Parameters","authors":"S. S. Olofintuyi","doi":"10.31341/jios.46.1.1","DOIUrl":"https://doi.org/10.31341/jios.46.1.1","url":null,"abstract":"Machine learning has been useful for prediction in the various sectors of the economy. The research work proposed an ensemble SA-CCT machine learning algorithm that gives early and accurate prediction of blackpod disease to farmers and agricultural extension officers in South-West, Nigeria. Since data mining put into consideration the types of pattern in a given dataset, the study considered the pattern in climatic dataset retrieved from Nigeria Meteorological agency (NIMET). The proposed model uses climatic parameters (Rainfall and Temperature) to predict the outbreak of blackpod disease. The ensemble SA-CCT model was formulated by hybridizing a linear algorithm Seasonal Auto Regressive Integrated Moving Average (SARIMA) and a nonlinear algorithm Compact Classification Tree (CCT), the implementation was done with python programming. The proposed SA-CCT model gives the following results after evaluation. Precision: 0.9429, Recall 0.9167, Mean Square Error: 0.2357, Accuracy: 0.9444","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43960789","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}
This paper elaborates the design of a National Learning Analytics (LA) and Educational Data Mining System for pre-tertiary education in Croatia. The described approach consists of the following five phases: 1) objectives setting, 2) user needs analysis, 3) data availability analysis, 4) dashboards pre-design and 5) validation of functionalities. There is an evident research gap, as well as the lack of practical examples about the development of a Learning Analytics System (LAS) for pre-tertiary education on the national and/or regional level. Therefore, this research aims to make a scientific contribution by filling the recognized gap, but also contribute to solving the practical issues of national schools’ LAS development. To increase the usability of an LAS, the involvement of all end users is essential. In the described case, six main user groups were identified: 10-18 years old students, teachers, school management and support staff, regional and national authorities responsible for education, strategic bodies and researchers and, finally, project partners that work on system development. For each of them, separate dashboard functionalities have been designed through several rounds of consultations. Consultations with users started with focus groups and panels, to brainstorm the most important issues they would like to answer in order to enhance learning and teaching. Between the two rounds of consultation, there was an evaluation phase of the relevance of the gathered questions. Finally, targeted users provided feedback on the pre-production functionalities of each dashboard and validated them. In this process, several challenges were detected, including data gathering and protection, ethical issues and interpretation of results for students who are underage, and continuous adjustments to the users’ needs.
{"title":"Strategic Development of a National Pre-tertiary Learning Analytics System","authors":"B. Divjak, Petra Vondra, Katarina Pažur Aničić","doi":"10.31341/jios.46.1.10","DOIUrl":"https://doi.org/10.31341/jios.46.1.10","url":null,"abstract":"This paper elaborates the design of a National Learning Analytics (LA) and Educational Data Mining System for pre-tertiary education in Croatia. The described approach consists of the following five phases: 1) objectives setting, 2) user needs analysis, 3) data availability analysis, 4) dashboards pre-design and 5) validation of functionalities. There is an evident research gap, as well as the lack of practical examples about the development of a Learning Analytics System (LAS) for pre-tertiary education on the national and/or regional level. Therefore, this research aims to make a scientific contribution by filling the recognized gap, but also contribute to solving the practical issues of national schools’ LAS development. To increase the usability of an LAS, the involvement of all end users is essential. In the described case, six main user groups were identified: 10-18 years old students, teachers, school management and support staff, regional and national authorities responsible for education, strategic bodies and researchers and, finally, project partners that work on system development. For each of them, separate dashboard functionalities have been designed through several rounds of consultations. Consultations with users started with focus groups and panels, to brainstorm the most important issues they would like to answer in order to enhance learning and teaching. Between the two rounds of consultation, there was an evaluation phase of the relevance of the gathered questions. Finally, targeted users provided feedback on the pre-production functionalities of each dashboard and validated them. In this process, several challenges were detected, including data gathering and protection, ethical issues and interpretation of results for students who are underage, and continuous adjustments to the users’ needs.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48713452","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}
This study aims to investigate the organizational factors affecting knowledge concealment in scientific contexts. This study has taken a mixed approach to identify these factors, so what makes it unique is the pluralism of data collection methods. Also, using the "Delphi" method, a conceptual model of organizational factors affecting knowledge concealment in scientific contexts is presented. The statistical sample included 314 employees of the Islamic Azad University of Khorasan Razavi who were selected through the random sampling method. They filled knowledge concealment questionnaire by Demirkasimoglu (2016) and a scholar-made questionnaire. Data were analyzed using the structural equation method (SEM) in AMOS software. Findings revealed that the coefficient correlation of organizational culture, reward system, organizational structure, organizational support, organizational justice, quality of work-life, and leadership style with knowledge concealment was -0.62, -0.27, -0.49, -1.30, -0.77, -0.39, and -0.88, respectively. The results indicate that organizational factors have an inverse and significant relationship with knowledge concealment.
{"title":"Identifying Organizational Factors Effective Knowledge Concealment in Scientific Contexts","authors":"Mahdi Hoseinpour, Sanjar Salajghe, M. Kamali","doi":"10.31341/jios.46.1.8","DOIUrl":"https://doi.org/10.31341/jios.46.1.8","url":null,"abstract":"This study aims to investigate the organizational factors affecting knowledge concealment in scientific contexts. This study has taken a mixed approach to identify these factors, so what makes it unique is the pluralism of data collection methods. Also, using the \"Delphi\" method, a conceptual model of organizational factors affecting knowledge concealment in scientific contexts is presented. The statistical sample included 314 employees of the Islamic Azad University of Khorasan Razavi who were selected through the random sampling method. They filled knowledge concealment questionnaire by Demirkasimoglu (2016) and a scholar-made questionnaire. Data were analyzed using the structural equation method (SEM) in AMOS software. Findings revealed that the coefficient correlation of organizational culture, reward system, organizational structure, organizational support, organizational justice, quality of work-life, and leadership style with knowledge concealment was -0.62, -0.27, -0.49, -1.30, -0.77, -0.39, and -0.88, respectively. The results indicate that organizational factors have an inverse and significant relationship with knowledge concealment.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49332216","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}
Tomás Darío Marín Velásquez, Dany Day Josefina Arriojas Tocuyo
The historical behavior of Venezuelan journals indexed in Scopus from 2000 to 2020, their visibility and impact were studied. The data were obtained from the Scimago Journals and Country Rank portal and were a number of journals, published papers, impact factor (SJR) and quartile of location. The historical behavior of each variable was analyzed using sequential time series models to establish whether the behavior has been random or whether it follows a defined trend. It was found that both the number of journals and the number of published papers follow definite trends and SJR behaves randomly. The decrease in the number of journals may be influenced by the critical socioeconomic situation of the country; however, the number of papers has increased over time and the SJR has remained in a narrow range, meaning that most journals fall between the Q3 and Q4 quartile.
研究了2000年至2020年Scopus收录的委内瑞拉期刊的历史行为及其可见性和影响。数据来自Scimago Journals and Country Rank门户网站，包括许多期刊、发表的论文、影响因素（SJR）和位置的四分位数。使用时序时间序列模型分析每个变量的历史行为，以确定行为是否是随机的或是否遵循定义的趋势。研究发现，期刊数量和发表论文数量都有一定的趋势，SJR表现为随机性。期刊数量的减少可能受到该国严峻的社会经济形势的影响；然而，随着时间的推移，论文数量有所增加，SJR保持在较窄的范围内，这意味着大多数期刊都在第三季度和第四季度之间。
{"title":"Venezuelan Scientific Journals in Scopus","authors":"Tomás Darío Marín Velásquez, Dany Day Josefina Arriojas Tocuyo","doi":"10.31341/jios.46.1.7","DOIUrl":"https://doi.org/10.31341/jios.46.1.7","url":null,"abstract":"The historical behavior of Venezuelan journals indexed in Scopus from 2000 to 2020, their visibility and impact were studied. The data were obtained from the Scimago Journals and Country Rank portal and were a number of journals, published papers, impact factor (SJR) and quartile of location. The historical behavior of each variable was analyzed using sequential time series models to establish whether the behavior has been random or whether it follows a defined trend. It was found that both the number of journals and the number of published papers follow definite trends and SJR behaves randomly. The decrease in the number of journals may be influenced by the critical socioeconomic situation of the country; however, the number of papers has increased over time and the SJR has remained in a narrow range, meaning that most journals fall between the Q3 and Q4 quartile.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45459764","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}
In spite of threatening external factors such as uncertain environmental structure and market pitfalls, the companies struggling with the difficulty of retaining the current customer and finding the potential ones should first realize the existence of “Achilles Tendons” within themselves. To prevent this potential problem, they should focus on the labor which can be a very substantial weak point and an important asset as well. Regarding serious problems arisen from labor force, this study proposes a new term called as “Achilles Tendon Syndrome” to be used in organizational behavior literature. Various theories from different disciplines such as medicine, psychology, physics, economics and sociology support development process of the term. Similarities and differences with other close concepts are also provided throughout the paper. The current study aims to inspire future studies by filling an important gap in the organization and management literature.
{"title":"Proposing a New Term for Organizational Behavior Literature","authors":"T. Arar, M. Öneren, Gülşen Yurdakul","doi":"10.31341/jios.46.1.5","DOIUrl":"https://doi.org/10.31341/jios.46.1.5","url":null,"abstract":"In spite of threatening external factors such as uncertain environmental structure and market pitfalls, the companies struggling with the difficulty of retaining the current customer and finding the potential ones should first realize the existence of “Achilles Tendons” within themselves. To prevent this potential problem, they should focus on the labor which can be a very substantial weak point and an important asset as well. Regarding serious problems arisen from labor force, this study proposes a new term called as “Achilles Tendon Syndrome” to be used in organizational behavior literature. Various theories from different disciplines such as medicine, psychology, physics, economics and sociology support development process of the term. Similarities and differences with other close concepts are also provided throughout the paper. The current study aims to inspire future studies by filling an important gap in the organization and management literature.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46532776","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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