Pub Date : 2023-04-07DOI: 10.1108/jstpm-05-2022-0083
Aswathy Sreenivasan, M. Suresh
Purpose When coping with uncertainties, three characteristics distinguish firms: agility, adaptability and alignment (triple-A). Based on significant field research, the triple-A highlights the significance of coordinating agility, adaptability and alignment. Start-ups are facing a lot of challenges in this turbulent environment. However, this sector is undergoing a major transformation. Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. This paper aims to identify, analyze and categorize the enablers for agility, adaptability and alignment in start-ups using the total interpretive structural modeling (TISM) approach. Design/methodology/approach In addition to the scheduled interview, a closed-ended questionnaire was used to collect data. To identify how the factors interact, the TISM technique is used, and the Matriced’Impacts Croises-Multipication Applique’ and Classment method is used to rank and categorize the agility, adaptability and alignment enablers. Findings This study identified ten agility, adaptability and alignment factors for start-ups. It has been found that the key importance should be given to management involvement, conflict management, collaboration and information integration. Research limitations/implications This study primarily focused on the agility, adaptability and alignment factors in start-ups. Practical implications This study will help academics and key stakeholders understand the aspects that lead to agility, adaptability and alignment in start-ups. Originality/value Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. Therefore, this is a novel attempt in this industry’s agility, adaptability and alignment.
{"title":"Agility adaptability and alignment in start-ups","authors":"Aswathy Sreenivasan, M. Suresh","doi":"10.1108/jstpm-05-2022-0083","DOIUrl":"https://doi.org/10.1108/jstpm-05-2022-0083","url":null,"abstract":"\u0000Purpose\u0000When coping with uncertainties, three characteristics distinguish firms: agility, adaptability and alignment (triple-A). Based on significant field research, the triple-A highlights the significance of coordinating agility, adaptability and alignment. Start-ups are facing a lot of challenges in this turbulent environment. However, this sector is undergoing a major transformation. Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. This paper aims to identify, analyze and categorize the enablers for agility, adaptability and alignment in start-ups using the total interpretive structural modeling (TISM) approach.\u0000\u0000\u0000Design/methodology/approach\u0000In addition to the scheduled interview, a closed-ended questionnaire was used to collect data. To identify how the factors interact, the TISM technique is used, and the Matriced’Impacts Croises-Multipication Applique’ and Classment method is used to rank and categorize the agility, adaptability and alignment enablers.\u0000\u0000\u0000Findings\u0000This study identified ten agility, adaptability and alignment factors for start-ups. It has been found that the key importance should be given to management involvement, conflict management, collaboration and information integration.\u0000\u0000\u0000Research limitations/implications\u0000This study primarily focused on the agility, adaptability and alignment factors in start-ups.\u0000\u0000\u0000Practical implications\u0000This study will help academics and key stakeholders understand the aspects that lead to agility, adaptability and alignment in start-ups.\u0000\u0000\u0000Originality/value\u0000Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. Therefore, this is a novel attempt in this industry’s agility, adaptability and alignment.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42122600","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 : 2023-03-31DOI: 10.1108/jstpm-01-2021-0011
M. Zahedi, Shayan Naghdi Khanachah, Shirin Papoli
Purpose The purpose of this study paper is to identify and prioritize the factors affecting the knowledge flow in high-tech industries. Design/methodology/approach This research is applied in terms of purpose and descriptive-survey in terms of data collection method. This research has been done in a qualitative–quantitative method. In the qualitative part, due to the nature of the data in this study, expert interviews have been used. The sample studied in this research includes 35 managers and expert professors with experience in the field of knowledge management working in universities and high-tech industries who have been selected by the method of snowball. In the quantitative part, the questionnaire tool and DANP multivariate decision-making method have been used. Findings In this study, a multicriteria decision-making technique using a combination of DEMATEL and ANP (DANP) was used to identify and prioritize the factors affecting the knowledge flow in high-tech industries. In this study, the factors affecting the knowledge flow, including 8 main factors and 31 subfactors, were selected. Human resources, organizational structure, organizational culture, knowledge communication, knowledge management tools, knowledge characteristics, laws, policies and regulations and financial resources were effective in improving knowledge flow, respectively. Originality/value By studying the research, it was found that the study area is limited, and the previous work has remained at the level of documentation and little practical use has been done. In previous research, the discussion of knowledge flow has not been very open, and doing incomplete work causes limited experiences and increases cost and time wastage, and parallel work may also occur. Therefore, to complete the knowledge management circle and fully achieve the research objectives, as well as to make available and transfer the experiences of people working in this field and also to save time and reduce costs, the contents and factors of previous models have been counted. It is designed for high-tech industries, a model for the flow of knowledge.
{"title":"Identifying and prioritizing the factors affecting the knowledge flow in high-tech industries","authors":"M. Zahedi, Shayan Naghdi Khanachah, Shirin Papoli","doi":"10.1108/jstpm-01-2021-0011","DOIUrl":"https://doi.org/10.1108/jstpm-01-2021-0011","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study paper is to identify and prioritize the factors affecting the knowledge flow in high-tech industries.\u0000\u0000\u0000Design/methodology/approach\u0000This research is applied in terms of purpose and descriptive-survey in terms of data collection method. This research has been done in a qualitative–quantitative method. In the qualitative part, due to the nature of the data in this study, expert interviews have been used. The sample studied in this research includes 35 managers and expert professors with experience in the field of knowledge management working in universities and high-tech industries who have been selected by the method of snowball. In the quantitative part, the questionnaire tool and DANP multivariate decision-making method have been used.\u0000\u0000\u0000Findings\u0000In this study, a multicriteria decision-making technique using a combination of DEMATEL and ANP (DANP) was used to identify and prioritize the factors affecting the knowledge flow in high-tech industries. In this study, the factors affecting the knowledge flow, including 8 main factors and 31 subfactors, were selected. Human resources, organizational structure, organizational culture, knowledge communication, knowledge management tools, knowledge characteristics, laws, policies and regulations and financial resources were effective in improving knowledge flow, respectively.\u0000\u0000\u0000Originality/value\u0000By studying the research, it was found that the study area is limited, and the previous work has remained at the level of documentation and little practical use has been done. In previous research, the discussion of knowledge flow has not been very open, and doing incomplete work causes limited experiences and increases cost and time wastage, and parallel work may also occur. Therefore, to complete the knowledge management circle and fully achieve the research objectives, as well as to make available and transfer the experiences of people working in this field and also to save time and reduce costs, the contents and factors of previous models have been counted. It is designed for high-tech industries, a model for the flow of knowledge.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44928170","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/jstpm-05-2022-0087
S. Bhattacharyya
Purpose The advent of robotics and automation technologies was augmenting firm initiatives to attain competitive advantage. From a resource-based view perspective, human-led capabilities were important to operate with technology resource base of an organisation. This was evident for both manufacturing as well as services firms. However, employees as an individual confronted technology anxiety (TA) when they were working with new technologies like robotics and automation technologies. Thus, the purpose of this paper was to examine the factors causing TA. Design/methodology/approach Given the novelty of this research study context a qualitative exploratory method was designed. For this research study, the data collected was through in-depth interviews conducted through open-ended semi-structured questionnaire. The data was collected from 62 frontline employees who were working with robotics and automation-based technologies in manufacturing firms. The authors applied thematic content analysis on collected data for analysis. Findings Technology anxieties ranged from fear of complete inability to learn new technologies, failure to learn new technologies properly, incapability to implement the learned skills and job loss to younger technology savvy employees. Finally, there was anxiety over job loss as automation and robotic technologies over the years was expected to erode the employment of human workforce altogether. Research limitations/implications The author undertook the research study based upon the TA perspective advocated by Meuter et al. (2003) and Yang and Forney (2013). Furthermore, this research study in the context of robotics and automation-based technologies in the manufacturing sector applied the mental accounting theory (Thaler, 1999) and technology self-efficacy perspective (Huffman et al., 2013). Practical implications Managers involved in the implementation of robotics and automation-based technologies were required to address TA of employees. Fear of job loss had to be addressed specially in a country like India. Anxiety regarding the ability to learn to work with robotics and automation technologies also was needed to be addressed by managers through adequate training and time for preparation. The benefits of robotics and automation-based technologies for employees as well as organisations have to be ascertained through open communication between the management and the frontline employees. Originality/value To the best of the authors’ knowledge, this was one of the first empirical research studies which deliberated regarding TA in the context of frontline workers working with robotics and automation-based technologies in the manufacturing sector. This research study was based upon a combination of varied perspectives ranging from micro foundations theory, TA, mental accounting theory and technology self-efficacy perspective.
目的机器人和自动化技术的出现增强了公司获得竞争优势的主动性。从基于资源的角度来看，以人为主导的能力对于利用组织的技术资源基础进行运营非常重要。这一点在制造业和服务业都很明显。然而，当员工在使用机器人和自动化技术等新技术时，他们作为一个个体面临着技术焦虑（TA）。因此，本文的目的是检验导致TA的因素。设计/方法/方法鉴于本研究背景的新颖性，设计了一种定性探索方法。在本研究中，数据是通过开放式半结构化问卷进行的深入访谈收集的。这些数据是从62名从事制造公司机器人和自动化技术工作的一线员工那里收集的。作者对收集的数据进行了主题内容分析。发现技术焦虑包括对完全无法学习新技术的恐惧、未能正确学习新技术、无法实施所学技能以及年轻精通技术的员工失业。最后，人们对失业感到焦虑，因为多年来的自动化和机器人技术预计将完全侵蚀人类劳动力的就业。研究局限性/含义作者基于Meuter等人（2003）以及Yang和Forney（2013）倡导的TA视角进行了研究。此外，这项针对制造业机器人和基于自动化的技术的研究应用了心理会计理论（Thaler，1999）和技术自我效能观（Huffman et al.，2013）。实际含义参与机器人和基于自动技术实施的管理者被要求解决员工的TA问题。在印度这样的国家，对失业的恐惧必须得到特别的解决。管理人员还需要通过充分的培训和准备时间来解决对学习使用机器人和自动化技术的能力的焦虑。基于机器人和自动化的技术对员工和组织的好处必须通过管理层和一线员工之间的公开沟通来确定。独创性/价值据作者所知，这是第一批在制造业从事机器人和基于自动化技术的一线工人的背景下审议TA的实证研究之一。本研究基于微观基础理论、TA、心理会计理论和技术自我效能观等多种视角。
{"title":"Co-working with robotic and automation technologies: technology anxiety of frontline workers in organisations","authors":"S. Bhattacharyya","doi":"10.1108/jstpm-05-2022-0087","DOIUrl":"https://doi.org/10.1108/jstpm-05-2022-0087","url":null,"abstract":"\u0000Purpose\u0000The advent of robotics and automation technologies was augmenting firm initiatives to attain competitive advantage. From a resource-based view perspective, human-led capabilities were important to operate with technology resource base of an organisation. This was evident for both manufacturing as well as services firms. However, employees as an individual confronted technology anxiety (TA) when they were working with new technologies like robotics and automation technologies. Thus, the purpose of this paper was to examine the factors causing TA.\u0000\u0000\u0000Design/methodology/approach\u0000Given the novelty of this research study context a qualitative exploratory method was designed. For this research study, the data collected was through in-depth interviews conducted through open-ended semi-structured questionnaire. The data was collected from 62 frontline employees who were working with robotics and automation-based technologies in manufacturing firms. The authors applied thematic content analysis on collected data for analysis.\u0000\u0000\u0000Findings\u0000Technology anxieties ranged from fear of complete inability to learn new technologies, failure to learn new technologies properly, incapability to implement the learned skills and job loss to younger technology savvy employees. Finally, there was anxiety over job loss as automation and robotic technologies over the years was expected to erode the employment of human workforce altogether.\u0000\u0000\u0000Research limitations/implications\u0000The author undertook the research study based upon the TA perspective advocated by Meuter et al. (2003) and Yang and Forney (2013). Furthermore, this research study in the context of robotics and automation-based technologies in the manufacturing sector applied the mental accounting theory (Thaler, 1999) and technology self-efficacy perspective (Huffman et al., 2013).\u0000\u0000\u0000Practical implications\u0000Managers involved in the implementation of robotics and automation-based technologies were required to address TA of employees. Fear of job loss had to be addressed specially in a country like India. Anxiety regarding the ability to learn to work with robotics and automation technologies also was needed to be addressed by managers through adequate training and time for preparation. The benefits of robotics and automation-based technologies for employees as well as organisations have to be ascertained through open communication between the management and the frontline employees.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this was one of the first empirical research studies which deliberated regarding TA in the context of frontline workers working with robotics and automation-based technologies in the manufacturing sector. This research study was based upon a combination of varied perspectives ranging from micro foundations theory, TA, mental accounting theory and technology self-efficacy perspective.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43397788","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}
Purpose The phenomenon of fear and anxiety can cause a decline in entrepreneurship. However, the validity of this assertion remains debatable, as opportunity-driven entrepreneurs may benefit from elevated uncertainty during a crisis. This study aims to examine entrepreneurial fear of failure and the well-being of opportunity-driven entrepreneurs in their startup stage during the COVID-19 outbreak. Opportunity-driven startups are oriented toward business growth but may need assistance from incubators. Design/methodology/approach The study used a qualitative method, where ten participants from incubated and non-incubated startups in Indonesia were interviewed. Thematic analysis was conducted using NVivo 12 software to analyze the data. Findings This study shows that the interviewees subjected to incubation tended to derive motivation from fear of failure. In contrast, nonincubated interviewees showed a propensity to experience fear of failure as repression and inhibition. Furthermore, the study highlights the correlation between entrepreneurial fear of failure and eudaimonic well-being. Originality/value This study contributes to the literature with empirical results on fear of failure capturing the essence of entrepreneurial behavior during crises/pandemic in the context of business startups. It provides valuable insights into the policy implications for promoting innovation among startups in specific contexts.
{"title":"Entrepreneurial fear of failure and well-being of incubated and non-incubated startups during crises","authors":"Donard Games, Dessy Kurnia Sari, Nurul Khairiyyah, Hussain Albin Shaikh","doi":"10.1108/jstpm-03-2022-0052","DOIUrl":"https://doi.org/10.1108/jstpm-03-2022-0052","url":null,"abstract":"\u0000Purpose\u0000The phenomenon of fear and anxiety can cause a decline in entrepreneurship. However, the validity of this assertion remains debatable, as opportunity-driven entrepreneurs may benefit from elevated uncertainty during a crisis. This study aims to examine entrepreneurial fear of failure and the well-being of opportunity-driven entrepreneurs in their startup stage during the COVID-19 outbreak. Opportunity-driven startups are oriented toward business growth but may need assistance from incubators.\u0000\u0000\u0000Design/methodology/approach\u0000The study used a qualitative method, where ten participants from incubated and non-incubated startups in Indonesia were interviewed. Thematic analysis was conducted using NVivo 12 software to analyze the data.\u0000\u0000\u0000Findings\u0000This study shows that the interviewees subjected to incubation tended to derive motivation from fear of failure. In contrast, nonincubated interviewees showed a propensity to experience fear of failure as repression and inhibition. Furthermore, the study highlights the correlation between entrepreneurial fear of failure and eudaimonic well-being.\u0000\u0000\u0000Originality/value\u0000This study contributes to the literature with empirical results on fear of failure capturing the essence of entrepreneurial behavior during crises/pandemic in the context of business startups. It provides valuable insights into the policy implications for promoting innovation among startups in specific contexts.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48565473","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/jstpm-07-2022-0105
Xu Le
Purpose This paper aims to illuminate a mechanism of positive word of mouth (PWOM) toward mobile banking (m-banking) by extending the fairness theory (FAT) with satisfaction (SAT) and value-in-use (VIU). Design/methodology/approach A research model is examined by obtaining data from a web-based survey of 398 respondents who have used m-banking in Vietnam. AMOS 21.0 software is applied to analyze the hypothetical model with covariance-based structural equation modeling. Findings The results reveal that price fairness (PRI) is of primary importance of fairness perception (FAI) in m-banking, followed by informative fairness, procedural fairness, interactional fairness and distributive fairness. Furthermore, SAT and VIU play a vital role in developing PWOM. In addition, FAI exerts a positive influence on SAT and VIU. Practical implications This study would help practitioners have the deep insights into affective and behavioral responses among customers and develop effective marketing trajectories to spur SAT, VIU and PWOM toward m-banking. The results hint that marketers may be tempted to simultaneously focus on the important dimensions of FAIs as they are indispensable to derive SAT and VIU from a customer perspective. This research assists governments and banks to adopt training programs and policies that will incite customer behaviors toward m-banking. Originality/value The value of the work lies in the combination between FAT with SAT to enlighten FAI and PWOM toward m-banking in a developing country. To the best of the authors’ knowledge, this work is among the first to consider VIU that motivates PWOM. Moreover, this study links PRI to FAI to understand PWOM among Vietnamese customers.
{"title":"Customers’ positive WOM toward m-banking: a standpoint of extended fairness theory and value-in-use","authors":"Xu Le","doi":"10.1108/jstpm-07-2022-0105","DOIUrl":"https://doi.org/10.1108/jstpm-07-2022-0105","url":null,"abstract":"\u0000Purpose\u0000This paper aims to illuminate a mechanism of positive word of mouth (PWOM) toward mobile banking (m-banking) by extending the fairness theory (FAT) with satisfaction (SAT) and value-in-use (VIU).\u0000\u0000\u0000Design/methodology/approach\u0000A research model is examined by obtaining data from a web-based survey of 398 respondents who have used m-banking in Vietnam. AMOS 21.0 software is applied to analyze the hypothetical model with covariance-based structural equation modeling.\u0000\u0000\u0000Findings\u0000The results reveal that price fairness (PRI) is of primary importance of fairness perception (FAI) in m-banking, followed by informative fairness, procedural fairness, interactional fairness and distributive fairness. Furthermore, SAT and VIU play a vital role in developing PWOM. In addition, FAI exerts a positive influence on SAT and VIU.\u0000\u0000\u0000Practical implications\u0000This study would help practitioners have the deep insights into affective and behavioral responses among customers and develop effective marketing trajectories to spur SAT, VIU and PWOM toward m-banking. The results hint that marketers may be tempted to simultaneously focus on the important dimensions of FAIs as they are indispensable to derive SAT and VIU from a customer perspective. This research assists governments and banks to adopt training programs and policies that will incite customer behaviors toward m-banking.\u0000\u0000\u0000Originality/value\u0000The value of the work lies in the combination between FAT with SAT to enlighten FAI and PWOM toward m-banking in a developing country. To the best of the authors’ knowledge, this work is among the first to consider VIU that motivates PWOM. Moreover, this study links PRI to FAI to understand PWOM among Vietnamese customers.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45379769","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/jstpm-03-2022-0049
M. N. Mahrin, A. Subbarao, S. Chuprat, N. A. Abu Bakar
Purpose Cloud computing promises dependable services offered through next-generation data centres based on virtualization technologies for computation, network and storage. Big Data Applications have been made viable by cloud computing technologies due to the tremendous expansion of data. Disaster management is one of the areas where big data applications are rapidly being deployed. This study looks at how big data is being used in conjunction with cloud computing to increase disaster risk reduction (DRR). This paper aims to explore and review the existing framework for big data used in disaster management and to provide an insightful view of how cloud-based big data platform toward DRR is applied. Design/methodology/approach A systematic mapping study is conducted to answer four research questions with papers related to Big Data Analytics, cloud computing and disaster management ranging from the year 2013 to 2019. A total of 26 papers were finalised after going through five steps of systematic mapping. Findings Findings are based on each research question. Research limitations/implications A specific study on big data platforms on the application of disaster management, in general is still limited. The lack of study in this field is opened for further research sources. Practical implications In terms of technology, research in DRR leverage on existing big data platform is still lacking. In terms of data, many disaster data are available, but scientists still struggle to learn and listen to the data and take more proactive disaster preparedness. Originality/value This study shows that a very famous platform selected by researchers is central processing unit based processing, namely, Apache Hadoop. Apache Spark which uses memory processing requires a big capacity of memory, therefore this is less preferred in the world of research.
{"title":"Cloud-based big data framework towards strengthening disaster risk reduction: systematic mapping","authors":"M. N. Mahrin, A. Subbarao, S. Chuprat, N. A. Abu Bakar","doi":"10.1108/jstpm-03-2022-0049","DOIUrl":"https://doi.org/10.1108/jstpm-03-2022-0049","url":null,"abstract":"\u0000Purpose\u0000Cloud computing promises dependable services offered through next-generation data centres based on virtualization technologies for computation, network and storage. Big Data Applications have been made viable by cloud computing technologies due to the tremendous expansion of data. Disaster management is one of the areas where big data applications are rapidly being deployed. This study looks at how big data is being used in conjunction with cloud computing to increase disaster risk reduction (DRR). This paper aims to explore and review the existing framework for big data used in disaster management and to provide an insightful view of how cloud-based big data platform toward DRR is applied.\u0000\u0000\u0000Design/methodology/approach\u0000A systematic mapping study is conducted to answer four research questions with papers related to Big Data Analytics, cloud computing and disaster management ranging from the year 2013 to 2019. A total of 26 papers were finalised after going through five steps of systematic mapping.\u0000\u0000\u0000Findings\u0000Findings are based on each research question.\u0000\u0000\u0000Research limitations/implications\u0000A specific study on big data platforms on the application of disaster management, in general is still limited. The lack of study in this field is opened for further research sources.\u0000\u0000\u0000Practical implications\u0000In terms of technology, research in DRR leverage on existing big data platform is still lacking. In terms of data, many disaster data are available, but scientists still struggle to learn and listen to the data and take more proactive disaster preparedness.\u0000\u0000\u0000Originality/value\u0000This study shows that a very famous platform selected by researchers is central processing unit based processing, namely, Apache Hadoop. Apache Spark which uses memory processing requires a big capacity of memory, therefore this is less preferred in the world of research.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45711188","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 : 2023-03-15DOI: 10.1108/jstpm-06-2022-0095
R. Ferdinands, S. Azam, A. Khatibi
Purpose This study aims to contribute to the understanding of the innovation environment of a developing nation through the Triple Helix model, revealing the existing inter-relationships between the three Helixes of Academia–Industry–Government. It sets out to find out the relationship and impact of the three Helixes on the most crucial stage of the innovation process: the commercialisation of patents, and to ascertain if there is a varying impact determined by patent ownership. Design/methodology/approach This cross-sectional study uses the survey method based on the views expressed by 220 Sri Lankan registered patent holders and categorised by organisational and individual ownership. The sample is drawn from the database of the National Intellectual Property Office of Sri Lanka and patents registered through the Patent Cooperation Treaty, extracted from the World Intellectual Property Organisation Patent Scope database. The survey was carried out in 2019 and limited to patents registered during the period 2010–2014. Findings The empirical findings indicate weak inter-relationship between Academia support, Industry support and patent commercial success, while the support of the Government Helix is non-significant in the commercial stage. The findings also indicate two different support standards existing in each Helix for the two ownership groups. Research limitations/implications The study is limited to a five-year window in a relatively early period in the country’s innovation policy development. The study model is also limited by the non-inclusion of mediators such as government-backed affiliated agencies and academia technical transfer offices which if incorporated would improve the study model and be more reflective of the actual environment and their role as change agents bridging the transition to a hybrid Triple Helix. Practical implications The study findings capture the inter-relationships of the Triple Helix existing in a developing country at the most crucial stage of the innovation process. It helps policymakers identify the gaps in each Helix that stands wanting and take measures to rectify them by creating a more favourable National Innovation System. An innovative environment that will facilitate patent holders achieve higher technological transfers and commercial success rates. Social implications The findings disclosure of two different support standards existing in each Helix for the two patent ownership groups poses a challenge for policymakers and challenges the core objective of increasing the commercial success of patents granted. The findings strengthen the need for a more robust support system to be put in place that would empower and facilitate the individual patent owner to increase the share of economic value arising from this underutilised patent group. Originality/value This study contributes by furthering the Triple Helix model in a social context and micro-setting by operationalising the theoretical p
{"title":"The work in progress of a developing nation’s Triple Helix and its impact on patent commercialization. The case of Sri Lanka","authors":"R. Ferdinands, S. Azam, A. Khatibi","doi":"10.1108/jstpm-06-2022-0095","DOIUrl":"https://doi.org/10.1108/jstpm-06-2022-0095","url":null,"abstract":"\u0000Purpose\u0000This study aims to contribute to the understanding of the innovation environment of a developing nation through the Triple Helix model, revealing the existing inter-relationships between the three Helixes of Academia–Industry–Government. It sets out to find out the relationship and impact of the three Helixes on the most crucial stage of the innovation process: the commercialisation of patents, and to ascertain if there is a varying impact determined by patent ownership.\u0000\u0000\u0000Design/methodology/approach\u0000This cross-sectional study uses the survey method based on the views expressed by 220 Sri Lankan registered patent holders and categorised by organisational and individual ownership. The sample is drawn from the database of the National Intellectual Property Office of Sri Lanka and patents registered through the Patent Cooperation Treaty, extracted from the World Intellectual Property Organisation Patent Scope database. The survey was carried out in 2019 and limited to patents registered during the period 2010–2014.\u0000\u0000\u0000Findings\u0000The empirical findings indicate weak inter-relationship between Academia support, Industry support and patent commercial success, while the support of the Government Helix is non-significant in the commercial stage. The findings also indicate two different support standards existing in each Helix for the two ownership groups.\u0000\u0000\u0000Research limitations/implications\u0000The study is limited to a five-year window in a relatively early period in the country’s innovation policy development. The study model is also limited by the non-inclusion of mediators such as government-backed affiliated agencies and academia technical transfer offices which if incorporated would improve the study model and be more reflective of the actual environment and their role as change agents bridging the transition to a hybrid Triple Helix.\u0000\u0000\u0000Practical implications\u0000The study findings capture the inter-relationships of the Triple Helix existing in a developing country at the most crucial stage of the innovation process. It helps policymakers identify the gaps in each Helix that stands wanting and take measures to rectify them by creating a more favourable National Innovation System. An innovative environment that will facilitate patent holders achieve higher technological transfers and commercial success rates.\u0000\u0000\u0000Social implications\u0000The findings disclosure of two different support standards existing in each Helix for the two patent ownership groups poses a challenge for policymakers and challenges the core objective of increasing the commercial success of patents granted. The findings strengthen the need for a more robust support system to be put in place that would empower and facilitate the individual patent owner to increase the share of economic value arising from this underutilised patent group.\u0000\u0000\u0000Originality/value\u0000This study contributes by furthering the Triple Helix model in a social context and micro-setting by operationalising the theoretical p","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41907740","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/jstpm-05-2022-0089
Adhi Indra Hermanu, D. Sari, M. Sondari, M. Dimyati
Purpose This paper aims to identify and classify the parameters that construct the input, processes, output, productivity and outcome variables that affect performance. These parameters are used in the evaluation model to measure research performance in universities so that they can be used as the basis for making leadership policies both at the national and institutional levels. Design/methodology/approach The design of this research is a quantitative research method using a survey questionnaire that was sent to the heads of research institutions at universities in Indonesia. To obtain these parameters, a test for determining the value of the loading factor was used. Findings The authors found that input variable parameters consisted of 10 parameters; process variable consisted of 22 parameters; output variable parameters consisted of 8 parameters; productivity variable consisted of 4 parameters; and outcome variable parameters consisted of 10 parameters. Originality/value One approach to obtain parameters is through systems theory, where every element that makes up the organization contributes to the achievement of goals. This study attempted to develop parameters in the performance appraisal model of systems theory-based research institutions that are adapted to trends in the direction of research in universities. These parameters are based on aspects of input, process, output, productivity and outcome.
{"title":"Higher education research performance parameters classified by systems theory: antecedents for the development of assessment models","authors":"Adhi Indra Hermanu, D. Sari, M. Sondari, M. Dimyati","doi":"10.1108/jstpm-05-2022-0089","DOIUrl":"https://doi.org/10.1108/jstpm-05-2022-0089","url":null,"abstract":"\u0000Purpose\u0000This paper aims to identify and classify the parameters that construct the input, processes, output, productivity and outcome variables that affect performance. These parameters are used in the evaluation model to measure research performance in universities so that they can be used as the basis for making leadership policies both at the national and institutional levels.\u0000\u0000\u0000Design/methodology/approach\u0000The design of this research is a quantitative research method using a survey questionnaire that was sent to the heads of research institutions at universities in Indonesia. To obtain these parameters, a test for determining the value of the loading factor was used.\u0000\u0000\u0000Findings\u0000The authors found that input variable parameters consisted of 10 parameters; process variable consisted of 22 parameters; output variable parameters consisted of 8 parameters; productivity variable consisted of 4 parameters; and outcome variable parameters consisted of 10 parameters.\u0000\u0000\u0000Originality/value\u0000One approach to obtain parameters is through systems theory, where every element that makes up the organization contributes to the achievement of goals. This study attempted to develop parameters in the performance appraisal model of systems theory-based research institutions that are adapted to trends in the direction of research in universities. These parameters are based on aspects of input, process, output, productivity and outcome.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41642784","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 : 2023-03-02DOI: 10.1108/jstpm-03-2023-192
P. Ordóñez de Pablos
{"title":"Editorial: “Digital economy, innovation, and science and technology”","authors":"P. Ordóñez de Pablos","doi":"10.1108/jstpm-03-2023-192","DOIUrl":"https://doi.org/10.1108/jstpm-03-2023-192","url":null,"abstract":"","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47887851","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 : 2023-02-28DOI: 10.1108/jstpm-02-2022-0036
M. S. Shaharudin, Yudi Fernando
Purpose Cold supply chain technology is critical for extending the shelf life of perishable leafy green vegetables. This study aims to investigate the concept of managing leafy green products using cold supply chain technology and visualise the findings. Design/methodology/approach Using expert interviews and data visualisation approaches, this study examines how organisations deal with the complexity of cold supply chain processes and networks. Thematic data analysis was conducted. Two types of software were used to accomplish the research objectives. The first software used AntConc version 3.5.8 with word frequency (N-gram) analysis, whereas the second software, VOSViewer offered co-occurrence network visualisation and cluster analysis. Findings The findings show that the appropriate design of cold chain technology is critical in ensuring the freshness and quality of leafy green vegetables. The primary goal of managing the complexity of the cold supply chain is to achieve product freshness and energy efficiency. Regardless of the importance of energy efficiency, cold supply chains require warehouse management solutions for transportation and storage. Practical implications This study found that proper design and selection of appropriate technology in the cold supply chain have driven the companies to improve the firms’ competitive advantage while delivering the best quality of perishable leafy green food products. In addition, the freshness, quality, safety, and health of leafy green vegetables will be determined by the company’s capacity to handle long-distance transportation and select the appropriate distribution channels and storage. Warehouse management system technology was found to be secondary compared to cold chain technology, although distribution and warehousing practices are critical for supply chain performance. Originality/value This study has established the conceptual indicators based on best practices and outcomes for the cold supply chain. This study argued that cold supply chain management and performance should be monitored independently. Furthermore, the theory of technological adoption can be expanded to include product nature as a driver. Finally, this study has established cold chain best practices based on a perishable supply chain perspective. The findings of this study can promote healthy foods to solve zero hunger and achieve sustainable development goals. Although this study demonstrates that technology improves supply chain practises, cold storage and logistics benefit the most from technological advancements. In contrast, non-cold supply chains benefit from technology-driven improvements in performance.
{"title":"Cold supply chain of leafy green vegetables: a social network analysis approach","authors":"M. S. Shaharudin, Yudi Fernando","doi":"10.1108/jstpm-02-2022-0036","DOIUrl":"https://doi.org/10.1108/jstpm-02-2022-0036","url":null,"abstract":"\u0000Purpose\u0000Cold supply chain technology is critical for extending the shelf life of perishable leafy green vegetables. This study aims to investigate the concept of managing leafy green products using cold supply chain technology and visualise the findings.\u0000\u0000\u0000Design/methodology/approach\u0000Using expert interviews and data visualisation approaches, this study examines how organisations deal with the complexity of cold supply chain processes and networks. Thematic data analysis was conducted. Two types of software were used to accomplish the research objectives. The first software used AntConc version 3.5.8 with word frequency (N-gram) analysis, whereas the second software, VOSViewer offered co-occurrence network visualisation and cluster analysis.\u0000\u0000\u0000Findings\u0000The findings show that the appropriate design of cold chain technology is critical in ensuring the freshness and quality of leafy green vegetables. The primary goal of managing the complexity of the cold supply chain is to achieve product freshness and energy efficiency. Regardless of the importance of energy efficiency, cold supply chains require warehouse management solutions for transportation and storage.\u0000\u0000\u0000Practical implications\u0000This study found that proper design and selection of appropriate technology in the cold supply chain have driven the companies to improve the firms’ competitive advantage while delivering the best quality of perishable leafy green food products. In addition, the freshness, quality, safety, and health of leafy green vegetables will be determined by the company’s capacity to handle long-distance transportation and select the appropriate distribution channels and storage. Warehouse management system technology was found to be secondary compared to cold chain technology, although distribution and warehousing practices are critical for supply chain performance.\u0000\u0000\u0000Originality/value\u0000This study has established the conceptual indicators based on best practices and outcomes for the cold supply chain. This study argued that cold supply chain management and performance should be monitored independently. Furthermore, the theory of technological adoption can be expanded to include product nature as a driver. Finally, this study has established cold chain best practices based on a perishable supply chain perspective. The findings of this study can promote healthy foods to solve zero hunger and achieve sustainable development goals. Although this study demonstrates that technology improves supply chain practises, cold storage and logistics benefit the most from technological advancements. In contrast, non-cold supply chains benefit from technology-driven improvements in performance.\u0000","PeriodicalId":45751,"journal":{"name":"Journal of Science and Technology Policy Management","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44560061","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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