Nabil Hasan Saleh Al-Kumaim, Marya Samer, Siti Hasnah Hassan, Muhammad Salman Shabbir, Fathey Mohammed, Samer Al-Shami
Purpose The purpose of this study is to understand the situation of hotels and tourism industry in Malaysia during and in post Covid-19 and to mitigate indirect damage caused by COVID-19 to the hotel business and tourism industry by examining the factors that have an influence on hotel’s customer satisfaction rating and revisit intention through an integration of service quality (SERVQUAL) framework and expectation-confirmation theory (ECT). Design/methodology/approach The SERVQUAL and ECT were considered the underpinning theoretical models but are integrated and extended by including a few additional variables. Data were collected from 458 respondents of travelers and hotel customers in Malaysia and analysed by applying partial least squares structural equation model technique. Findings The empirical results established that significant positive relationships exist between the three newly emerged independent variables (IVs), namely, hygienic practice, greenness of service and digitalization and hotel customer satisfaction towards hotel revisit intention, and only two variables from SERVQUAL, namely, reliability and assurance, have a significant relationship with hotel customer satisfaction towards hotel revisit intention. The results reveal that customer satisfaction has significant direct effect between above-mentioned IVs and customers revisit intention. Research limitations/implications The use of purposeful sampling method in only one country might limit the generalizability of the results. Future research should be planned to duplicate the current study using a sizable sample of participants from multiple countries and include other related factors related to the pandemic phenomena such as safety, hotel location and health value offered. Practical implications Theoretical findings imply that service quality is a dynamic theory that should be examined continuously to achieve sustainable and resilient performance in today’s competitive business environment, as some modifications inevitably occur over time and new factors could be emerged. Regarding practical implications, study findings proved the great significance of assurance, reliability, digitalization, greenness and hygienic practices on customer satisfaction towards intention to revisit to hotel. Therefore, it is critical for hotel management to retain hotel business industry in a way that fits and matches customer’s health protection, meets customer’s newly prompted expectations and needs and ensures resilience during unsettled times. Originality/value This study is unique as the newly emerged variables are included in the research framework, and thus it helps to close the literature gap by introducing an integrated SERVQUAL and ECT theoretical model, which rarely performs in this context and can be replicated or extended with validated scales. This study contributes to enhancing hotel and tourism sustainable service quality performance to achieve myriad economic and health values.
{"title":"New demands by hotel customers post COVID-19 era","authors":"Nabil Hasan Saleh Al-Kumaim, Marya Samer, Siti Hasnah Hassan, Muhammad Salman Shabbir, Fathey Mohammed, Samer Al-Shami","doi":"10.1108/fs-05-2023-0082","DOIUrl":"https://doi.org/10.1108/fs-05-2023-0082","url":null,"abstract":"Purpose The purpose of this study is to understand the situation of hotels and tourism industry in Malaysia during and in post Covid-19 and to mitigate indirect damage caused by COVID-19 to the hotel business and tourism industry by examining the factors that have an influence on hotel’s customer satisfaction rating and revisit intention through an integration of service quality (SERVQUAL) framework and expectation-confirmation theory (ECT). Design/methodology/approach The SERVQUAL and ECT were considered the underpinning theoretical models but are integrated and extended by including a few additional variables. Data were collected from 458 respondents of travelers and hotel customers in Malaysia and analysed by applying partial least squares structural equation model technique. Findings The empirical results established that significant positive relationships exist between the three newly emerged independent variables (IVs), namely, hygienic practice, greenness of service and digitalization and hotel customer satisfaction towards hotel revisit intention, and only two variables from SERVQUAL, namely, reliability and assurance, have a significant relationship with hotel customer satisfaction towards hotel revisit intention. The results reveal that customer satisfaction has significant direct effect between above-mentioned IVs and customers revisit intention. Research limitations/implications The use of purposeful sampling method in only one country might limit the generalizability of the results. Future research should be planned to duplicate the current study using a sizable sample of participants from multiple countries and include other related factors related to the pandemic phenomena such as safety, hotel location and health value offered. Practical implications Theoretical findings imply that service quality is a dynamic theory that should be examined continuously to achieve sustainable and resilient performance in today’s competitive business environment, as some modifications inevitably occur over time and new factors could be emerged. Regarding practical implications, study findings proved the great significance of assurance, reliability, digitalization, greenness and hygienic practices on customer satisfaction towards intention to revisit to hotel. Therefore, it is critical for hotel management to retain hotel business industry in a way that fits and matches customer’s health protection, meets customer’s newly prompted expectations and needs and ensures resilience during unsettled times. Originality/value This study is unique as the newly emerged variables are included in the research framework, and thus it helps to close the literature gap by introducing an integrated SERVQUAL and ECT theoretical model, which rarely performs in this context and can be replicated or extended with validated scales. This study contributes to enhancing hotel and tourism sustainable service quality performance to achieve myriad economic and health values.","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136078593","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 purpose of the paper is to present an integrated methodology for identifying trends in a particular subject area based on a combination of advanced text mining and expert methods. The authors aim to test it in an area of clinical psychology and psychotherapy in 2010–2019. Design/methodology/approach The authors demonstrate the way of applying text-mining and the Word2Vec model to identify hot topics (HT) and emerging trends (ET) in clinical psychology and psychotherapy. The analysis of 11.3 million scientific publications in the Microsoft Academic Graph database revealed the most rapidly growing clinical psychology and psychotherapy terms – those with the largest increase in the number of publications reflecting real or potential trends. Findings The proposed approach allows one to identify HT and ET for the six thematic clusters related to mental disorders, symptoms, pharmacology, psychotherapy, treatment techniques and important psychological skills. Practical implications The developed methodology allows one to see the broad picture of the most dynamic research areas in the field of clinical psychology and psychotherapy in 2010–2019. For clinicians, who are often overwhelmed by practical work, this map of the current research can help identify the areas worthy of further attention to improve the effectiveness of their clinical work. This methodology might be applied for the identification of trends in any other subject area by taking into account its specificity. Originality/value The paper demonstrates the value of the advanced text-mining approach for understanding trends in a subject area. To the best of the authors’ knowledge, for the first time, text-mining and the Word2Vec model have been applied to identifying trends in the field of clinical psychology and psychotherapy.
{"title":"Identifying emerging trends and hot topics through intelligent data mining: the case of clinical psychology and psychotherapy","authors":"Anna Sokolova, Polina Lobanova, Ilya Kuzminov","doi":"10.1108/fs-02-2023-0026","DOIUrl":"https://doi.org/10.1108/fs-02-2023-0026","url":null,"abstract":"Purpose The purpose of the paper is to present an integrated methodology for identifying trends in a particular subject area based on a combination of advanced text mining and expert methods. The authors aim to test it in an area of clinical psychology and psychotherapy in 2010–2019. Design/methodology/approach The authors demonstrate the way of applying text-mining and the Word2Vec model to identify hot topics (HT) and emerging trends (ET) in clinical psychology and psychotherapy. The analysis of 11.3 million scientific publications in the Microsoft Academic Graph database revealed the most rapidly growing clinical psychology and psychotherapy terms – those with the largest increase in the number of publications reflecting real or potential trends. Findings The proposed approach allows one to identify HT and ET for the six thematic clusters related to mental disorders, symptoms, pharmacology, psychotherapy, treatment techniques and important psychological skills. Practical implications The developed methodology allows one to see the broad picture of the most dynamic research areas in the field of clinical psychology and psychotherapy in 2010–2019. For clinicians, who are often overwhelmed by practical work, this map of the current research can help identify the areas worthy of further attention to improve the effectiveness of their clinical work. This methodology might be applied for the identification of trends in any other subject area by taking into account its specificity. Originality/value The paper demonstrates the value of the advanced text-mining approach for understanding trends in a subject area. To the best of the authors’ knowledge, for the first time, text-mining and the Word2Vec model have been applied to identifying trends in the field of clinical psychology and psychotherapy.","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135738933","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 This paper aims to establish and empirically investigate a research model examining the effect of four dimensions of the technology readiness index – optimism, innovativeness, discomfort and insecurity – on customer engagement that further influences purchase intention in the context of online shopping through artificial intelligence voice assistants (AI VAs). Design/methodology/approach Data were collected in India from 429 customers in a self-administered online survey. Data analysis uses the structural equation modelling technique. Findings Technology readiness dimensions, e.g. optimism, innovativeness, discomfort and insecurity, are critical factors driving customer engagement. Customer engagement further results in purchase intention in online shopping through AI VAs. Research limitations/implications This study adds to the literature by understanding how customers’ technology readiness levels drive engagement and purchase intention. However, this study includes customer engagement as a unidimensional construct. Further research can consist of customer engagement as a multidimensional construct. Practical implications The findings offer guidelines for e-retailers to enhance customer engagement that matches their personality traits, thereby strengthening their purchase intention through AI VAs. Originality/value The research contributes to the literature by empirically investigating a research model, revealing optimism, innovativeness, discomfort and insecurity as crucial parameters for customer engagement and purchase intention.
{"title":"Linking technology readiness and customer engagement: an AI-enabled voice assistants investigation","authors":"Tejas R. Shah, Pradeep Kautish, Sandeep Walia","doi":"10.1108/fs-10-2021-0195","DOIUrl":"https://doi.org/10.1108/fs-10-2021-0195","url":null,"abstract":"\u0000Purpose\u0000This paper aims to establish and empirically investigate a research model examining the effect of four dimensions of the technology readiness index – optimism, innovativeness, discomfort and insecurity – on customer engagement that further influences purchase intention in the context of online shopping through artificial intelligence voice assistants (AI VAs).\u0000\u0000\u0000Design/methodology/approach\u0000Data were collected in India from 429 customers in a self-administered online survey. Data analysis uses the structural equation modelling technique.\u0000\u0000\u0000Findings\u0000Technology readiness dimensions, e.g. optimism, innovativeness, discomfort and insecurity, are critical factors driving customer engagement. Customer engagement further results in purchase intention in online shopping through AI VAs.\u0000\u0000\u0000Research limitations/implications\u0000This study adds to the literature by understanding how customers’ technology readiness levels drive engagement and purchase intention. However, this study includes customer engagement as a unidimensional construct. Further research can consist of customer engagement as a multidimensional construct.\u0000\u0000\u0000Practical implications\u0000The findings offer guidelines for e-retailers to enhance customer engagement that matches their personality traits, thereby strengthening their purchase intention through AI VAs.\u0000\u0000\u0000Originality/value\u0000The research contributes to the literature by empirically investigating a research model, revealing optimism, innovativeness, discomfort and insecurity as crucial parameters for customer engagement and purchase intention.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43915511","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 As competition in the industry intensifies, companies must use market-oriented approaches to gain competitive superiority; one of the approaches that can lead to the success of companies in the competitive market is to undertake social co-creation with the help of customers. Although the use of social media for the development of social interactions has expanded, very little attention has been paid to how the concept of social co-creation is formed on social media by users. Therefore, this study aims to investigate the effect of personality traits and website quality on social co-creation, with the mediating role of trust in tourism websites. Design/methodology/approach This research, in terms of purpose, is practical, and in terms of information collection, it is a descriptive survey. The research statistical population is all users of active tourism sites in Iran. The sampling method is non-probability and available sampling. The questionnaire was designed based on the Likert scale and was distributed electronically among the statistical sample. After collecting and reviewing the questionnaires, 203 were used for analysis. The data analysis method in this study is hierarchical multiple regression. Findings The results indicated that personality traits and website quality are correlated with trust and social co-creation. The dimensions of website quality, including quality of information, quality of system and quality of service on tourism websites, have considerable and positive effects on trust. Also, all dimensions of the personality traits, except extraversion and neuroticism, have a considerable and positive effect on trust. Moreover, the correlation between trust and social co-creation is positive. Originality/value According to the review of the digital marketing literature, some researchers examined the influential factors in co-creation, but there is little research about how the interaction of these three concepts (personality traits, website quality and trust) enhances co-creation. This study contributes to the existing literature with empirical evidence of how personality traits and website quality influence co-creation by mediating the role of trust.
{"title":"What drives social co-creation in tourism? An empirical study","authors":"G. Taheri, F. Mohammadi, Mona Jami Pour","doi":"10.1108/fs-01-2023-0015","DOIUrl":"https://doi.org/10.1108/fs-01-2023-0015","url":null,"abstract":"\u0000Purpose\u0000As competition in the industry intensifies, companies must use market-oriented approaches to gain competitive superiority; one of the approaches that can lead to the success of companies in the competitive market is to undertake social co-creation with the help of customers. Although the use of social media for the development of social interactions has expanded, very little attention has been paid to how the concept of social co-creation is formed on social media by users. Therefore, this study aims to investigate the effect of personality traits and website quality on social co-creation, with the mediating role of trust in tourism websites.\u0000\u0000\u0000Design/methodology/approach\u0000This research, in terms of purpose, is practical, and in terms of information collection, it is a descriptive survey. The research statistical population is all users of active tourism sites in Iran. The sampling method is non-probability and available sampling. The questionnaire was designed based on the Likert scale and was distributed electronically among the statistical sample. After collecting and reviewing the questionnaires, 203 were used for analysis. The data analysis method in this study is hierarchical multiple regression.\u0000\u0000\u0000Findings\u0000The results indicated that personality traits and website quality are correlated with trust and social co-creation. The dimensions of website quality, including quality of information, quality of system and quality of service on tourism websites, have considerable and positive effects on trust. Also, all dimensions of the personality traits, except extraversion and neuroticism, have a considerable and positive effect on trust. Moreover, the correlation between trust and social co-creation is positive.\u0000\u0000\u0000Originality/value\u0000According to the review of the digital marketing literature, some researchers examined the influential factors in co-creation, but there is little research about how the interaction of these three concepts (personality traits, website quality and trust) enhances co-creation. This study contributes to the existing literature with empirical evidence of how personality traits and website quality influence co-creation by mediating the role of trust.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46537691","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}
Sachin Kumar, Neeraj Dhiman, Honey Kanojia, R. Joshi
Purpose This study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps. Design/methodology/approach A quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model. Findings Significant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy. Practical implications The results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking. Originality/value Despite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.
{"title":"What resists millennials to adopt hotel booking apps? An empirical analysis based on extended innovation resistance theory","authors":"Sachin Kumar, Neeraj Dhiman, Honey Kanojia, R. Joshi","doi":"10.1108/fs-10-2021-0209","DOIUrl":"https://doi.org/10.1108/fs-10-2021-0209","url":null,"abstract":"\u0000Purpose\u0000This study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps.\u0000\u0000\u0000Design/methodology/approach\u0000A quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model.\u0000\u0000\u0000Findings\u0000Significant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy.\u0000\u0000\u0000Practical implications\u0000The results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking.\u0000\u0000\u0000Originality/value\u0000Despite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44111806","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 This study aims to examine the key antecedents influencing the private firm’s intention to adopt big data analytics (BDA) in developing economies. To do so, the study follows the sequential explanatory approach. Design/methodology/approach To test the hypothesized model that draws on the technology–organization–environment (TOE) framework paired with the diffusion of innovation (DOI) theory, a purposive sampling technique was applied to gather data from 156 IT and management domain experts from the private firms that intend to adopt BDA and operate in Pakistan’s service industry, including telecommunication, information technology, agriculture, and e-commerce. The data were analysed using the partial least squares structural equations modelling (PLS-SEM) technique and complemented with qualitative analysis of 10 semi-structured interviews in NVIVO 12 based on grounded theory. Findings The empirical findings revealed that the two constructs – perceived benefits and top management support – are the powerful drivers of a firm’s intention to adopt BDA in the private sector, whereas IT infrastructure, data quality, technological complexity and financial readiness, along with the moderators, BDA adoption of competitors and government policy and regulation, do not significantly influence the intention. In addition, the qualitative analysis validates and further complements the SEM findings. Originality/value Unlike the previous studies on technology adoption, this study proposed a unique research model with contextualized indicators to measure the constructs relevant to private firms, based on the TOE framework and DOI theory, to investigate the causal relationship between drivers and intention. Furthermore, the findings of PLS-SEM were complemented by qualitative analysis to validate the causation. The findings of this study have both theoretical and practical implications.
{"title":"Antecedents of big data analytics (BDA) adoption in private firms: a sequential explanatory approach","authors":"Javaria Waqar, O. S. Paracha","doi":"10.1108/fs-10-2022-0114","DOIUrl":"https://doi.org/10.1108/fs-10-2022-0114","url":null,"abstract":"\u0000Purpose\u0000This study aims to examine the key antecedents influencing the private firm’s intention to adopt big data analytics (BDA) in developing economies. To do so, the study follows the sequential explanatory approach.\u0000\u0000\u0000Design/methodology/approach\u0000To test the hypothesized model that draws on the technology–organization–environment (TOE) framework paired with the diffusion of innovation (DOI) theory, a purposive sampling technique was applied to gather data from 156 IT and management domain experts from the private firms that intend to adopt BDA and operate in Pakistan’s service industry, including telecommunication, information technology, agriculture, and e-commerce. The data were analysed using the partial least squares structural equations modelling (PLS-SEM) technique and complemented with qualitative analysis of 10 semi-structured interviews in NVIVO 12 based on grounded theory.\u0000\u0000\u0000Findings\u0000The empirical findings revealed that the two constructs – perceived benefits and top management support – are the powerful drivers of a firm’s intention to adopt BDA in the private sector, whereas IT infrastructure, data quality, technological complexity and financial readiness, along with the moderators, BDA adoption of competitors and government policy and regulation, do not significantly influence the intention. In addition, the qualitative analysis validates and further complements the SEM findings.\u0000\u0000\u0000Originality/value\u0000Unlike the previous studies on technology adoption, this study proposed a unique research model with contextualized indicators to measure the constructs relevant to private firms, based on the TOE framework and DOI theory, to investigate the causal relationship between drivers and intention. Furthermore, the findings of PLS-SEM were complemented by qualitative analysis to validate the causation. The findings of this study have both theoretical and practical implications.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45246931","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 Resilient higher education institutions can endure, develop and compete in the face of ambiguous, challenging and pandemic situations. In a world of digital transformation, organizational resilience is crucial. Prior research has paid less attention to achieving organizational resilience. This study aims to use the digital capability theory to address this research gap and determine adaptive culture’s direct and indirect influence on organizational resilience. The impact of adaptive culture on organizational resilience is being investigated via the underlying mechanism of digital transformation. Design/methodology/approach The data was gathered using a cross-sectional, self-administered questionnaire with convenience sampling techniques from higher educational institutions in South Asia’s context. The direct and indirect effects were analyzed using SEM from 294 teaching faculty members. Findings The findings show a significant positive association between the study’s constructs. The association between adaptive culture and organizational resilience was partially mediated by digital transformation. The findings provide important insights for policymakers, academics and higher education institutions in developing adaptable cultures to achieve organizational resilience, primarily through digital transformation. Originality/value Few research studies have investigated a direct relationship among the constructs of the study to the best of the authors’ knowledge. It is the first study to investigate the role of digital transformation as the underlying mechanism between adaptive culture and organizational resilience. Theoretical contributions, practical implications and future research directions have all been presented.
{"title":"Resilient higher educational institutions in a world of digital transformation","authors":"Maryam Gull, S. Parveen, A. R. Sridadi","doi":"10.1108/fs-12-2022-0186","DOIUrl":"https://doi.org/10.1108/fs-12-2022-0186","url":null,"abstract":"Purpose\u0000Resilient higher education institutions can endure, develop and compete in the face of ambiguous, challenging and pandemic situations. In a world of digital transformation, organizational resilience is crucial. Prior research has paid less attention to achieving organizational resilience. This study aims to use the digital capability theory to address this research gap and determine adaptive culture’s direct and indirect influence on organizational resilience. The impact of adaptive culture on organizational resilience is being investigated via the underlying mechanism of digital transformation.\u0000\u0000\u0000Design/methodology/approach\u0000The data was gathered using a cross-sectional, self-administered questionnaire with convenience sampling techniques from higher educational institutions in South Asia’s context. The direct and indirect effects were analyzed using SEM from 294 teaching faculty members.\u0000\u0000\u0000Findings\u0000The findings show a significant positive association between the study’s constructs. The association between adaptive culture and organizational resilience was partially mediated by digital transformation. The findings provide important insights for policymakers, academics and higher education institutions in developing adaptable cultures to achieve organizational resilience, primarily through digital transformation.\u0000\u0000\u0000Originality/value\u0000Few research studies have investigated a direct relationship among the constructs of the study to the best of the authors’ knowledge. It is the first study to investigate the role of digital transformation as the underlying mechanism between adaptive culture and organizational resilience. Theoretical contributions, practical implications and future research directions have all been presented.","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46156541","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 This paper aims to investigate the effects of volatility transmission among Bitcoin and other leading cryptocurrencies, namely, Binance USD, BNB, Cardano, Dogecoin, Ethereum, Polkadot, Polygon, Solana, Tether, USD Coin and XRP. Design/methodology/approach The multivariate BEKK-GARCH model is used with the daily data set from 1 January 2017 to 31 March 2023. The data set is analysed in its entirety and is also the COVID-19 epidemic period. Findings The study reveals that while the volatility of cryptocurrency prices is influenced by their own historical shocks and volatility, there is proof of the effects shock transmission among Bitcoin and other notable cryptocurrencies. Furthermore, the authors identify the spillover effects of volatility among all 11 pairs and provide evidence that conditional correlations with varying time constants are present, and predominantly positive for both the entire and COVID-19 outbreak periods. Practical implications The findings will be helpful to market experts who want to avoid losses in traditional assets. To develop the best risk management and hedging strategies, businesses might use the information to build asset portfolios or personalise payment methods. The use of such data by investors and portfolio managers could aid in the development of investment opportunities, risk insurance plans or hedging strategies for the management of financial portfolios. Originality/value To the best of the authors’ knowledge, the use of the BEKK-GARCH model for examining the effects of volatility spillover among Bitcoin and the other eleven top cryptocurrencies has not been previously documented.
{"title":"Persistence and volatility spillovers of Bitcoin to other leading cryptocurrencies: a BEKK-GARCH analysis","authors":"Parichat Sinlapates, Surachai Chancharat","doi":"10.1108/fs-09-2022-0100","DOIUrl":"https://doi.org/10.1108/fs-09-2022-0100","url":null,"abstract":"\u0000Purpose\u0000This paper aims to investigate the effects of volatility transmission among Bitcoin and other leading cryptocurrencies, namely, Binance USD, BNB, Cardano, Dogecoin, Ethereum, Polkadot, Polygon, Solana, Tether, USD Coin and XRP.\u0000\u0000\u0000Design/methodology/approach\u0000The multivariate BEKK-GARCH model is used with the daily data set from 1 January 2017 to 31 March 2023. The data set is analysed in its entirety and is also the COVID-19 epidemic period.\u0000\u0000\u0000Findings\u0000The study reveals that while the volatility of cryptocurrency prices is influenced by their own historical shocks and volatility, there is proof of the effects shock transmission among Bitcoin and other notable cryptocurrencies. Furthermore, the authors identify the spillover effects of volatility among all 11 pairs and provide evidence that conditional correlations with varying time constants are present, and predominantly positive for both the entire and COVID-19 outbreak periods.\u0000\u0000\u0000Practical implications\u0000The findings will be helpful to market experts who want to avoid losses in traditional assets. To develop the best risk management and hedging strategies, businesses might use the information to build asset portfolios or personalise payment methods. The use of such data by investors and portfolio managers could aid in the development of investment opportunities, risk insurance plans or hedging strategies for the management of financial portfolios.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, the use of the BEKK-GARCH model for examining the effects of volatility spillover among Bitcoin and the other eleven top cryptocurrencies has not been previously documented.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48221128","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 This study sought to determine the role of green human resource management (GHRM) in fostering employees' environmental performance (ENVP). This study aims to advance knowledge related to the role of firms’ GHRM activities in cultivating eco-responsible behaviors among employees, considering green innovation (GI) as a mediator. Design/methodology/approach For this study, data of 579 respondents were collected from employees working in the manufacturing industry in India. In all, 579 employees from the manufacturing sector in India participated in the study. The proposed model was tested using SMART PLS 3.3. Findings The findings of this study stated that GHRM was found significantly to predict ENVP in the Indian manufacturing industry, and GI exhibited partial mediation. This study emphasizes that GHRM activities carried out by firms encourage employees to engage in innovation to develop green products and find novel green operation processes to improve firms’ ENVP. Research limitations/implications As this study is limited to manufacturing organizations in India, the results of this study cannot be generalized; future studies may examine the proposed model in different contexts to generalize findings. Originality/value This study encourages policymakers to devise laws to enable organizations to implement GHRM practices. This study contributes to the existing literature on the environmental aspects of corporate social responsibility and environmental management. This study is one of the few attempts that seek to assess the relationship between GHRM, ENVP and GI in the Indian manufacturing industry. The contribution of this paper is significant to limit GHRM literature, as it empirically investigates the association between GHRM and ENVP.
{"title":"Green human resource management and environmental performance: mediating role of green innovation – a study from an emerging country","authors":"Geeta Rana, Vikas Arya","doi":"10.1108/fs-04-2021-0094","DOIUrl":"https://doi.org/10.1108/fs-04-2021-0094","url":null,"abstract":"\u0000Purpose\u0000This study sought to determine the role of green human resource management (GHRM) in fostering employees' environmental performance (ENVP). This study aims to advance knowledge related to the role of firms’ GHRM activities in cultivating eco-responsible behaviors among employees, considering green innovation (GI) as a mediator.\u0000\u0000\u0000Design/methodology/approach\u0000For this study, data of 579 respondents were collected from employees working in the manufacturing industry in India. In all, 579 employees from the manufacturing sector in India participated in the study. The proposed model was tested using SMART PLS 3.3.\u0000\u0000\u0000Findings\u0000The findings of this study stated that GHRM was found significantly to predict ENVP in the Indian manufacturing industry, and GI exhibited partial mediation. This study emphasizes that GHRM activities carried out by firms encourage employees to engage in innovation to develop green products and find novel green operation processes to improve firms’ ENVP.\u0000\u0000\u0000Research limitations/implications\u0000As this study is limited to manufacturing organizations in India, the results of this study cannot be generalized; future studies may examine the proposed model in different contexts to generalize findings.\u0000\u0000\u0000Originality/value\u0000This study encourages policymakers to devise laws to enable organizations to implement GHRM practices. This study contributes to the existing literature on the environmental aspects of corporate social responsibility and environmental management. This study is one of the few attempts that seek to assess the relationship between GHRM, ENVP and GI in the Indian manufacturing industry. The contribution of this paper is significant to limit GHRM literature, as it empirically investigates the association between GHRM and ENVP.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46015722","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}
Ali Zackery, Mohsen Taheri Demneh, Maryam Ebadi Nejad
Purpose Due to the limitations of conventional urban planning, it is essential to develop novel techniques of urban futruing. This paper aimed to use the scenario technique to create four plausible narratives of the future of Isfahan. Also, the authors described the problems of city foresight in the Global South. Design/methodology/approach This paper chronicles the Schwartzian steps taken to build explorative scenarios of Isfahan City in Iran in 2040. After using a STEEPV (Social, Technological, Environmental, Economic, Political, Value) analysis, the authors prioritized the collected variables by combining influence diagrams, the iceberg metaphor and an expert-based survey. Once the key uncertainties were derived, four scenarios were developed and discussed. Findings Through thematic analysis of the official visions of Isfahan’s future and the juxtaposition of these narratives with insight yielded in the scenario-development process, the paper concludes that the Northernness of the prevailing urban imaginaries, uncritical mimetic benchmarking, depoliticization of urban futures and the decorative reductionistic visions colonize urban futures in Isfahan/Iran. Critical/deconstructive city foresight and application of discomfort/ignorance criteria in the generation of scenarios can improve the rigor and quality of city foresight in the Global South. Originality/value The application of city foresight in the Global South has been limited. The paper is a step toward bridging this gap and providing some recommendations on how city foresight in the Global South might differ from its counterparts in the Global North.
{"title":"Colonization of urban futures in the Global South: lessons from the case of Isfahan 2040","authors":"Ali Zackery, Mohsen Taheri Demneh, Maryam Ebadi Nejad","doi":"10.1108/fs-01-2023-0004","DOIUrl":"https://doi.org/10.1108/fs-01-2023-0004","url":null,"abstract":"\u0000Purpose\u0000Due to the limitations of conventional urban planning, it is essential to develop novel techniques of urban futruing. This paper aimed to use the scenario technique to create four plausible narratives of the future of Isfahan. Also, the authors described the problems of city foresight in the Global South.\u0000\u0000\u0000Design/methodology/approach\u0000This paper chronicles the Schwartzian steps taken to build explorative scenarios of Isfahan City in Iran in 2040. After using a STEEPV (Social, Technological, Environmental, Economic, Political, Value) analysis, the authors prioritized the collected variables by combining influence diagrams, the iceberg metaphor and an expert-based survey. Once the key uncertainties were derived, four scenarios were developed and discussed.\u0000\u0000\u0000Findings\u0000Through thematic analysis of the official visions of Isfahan’s future and the juxtaposition of these narratives with insight yielded in the scenario-development process, the paper concludes that the Northernness of the prevailing urban imaginaries, uncritical mimetic benchmarking, depoliticization of urban futures and the decorative reductionistic visions colonize urban futures in Isfahan/Iran. Critical/deconstructive city foresight and application of discomfort/ignorance criteria in the generation of scenarios can improve the rigor and quality of city foresight in the Global South.\u0000\u0000\u0000Originality/value\u0000The application of city foresight in the Global South has been limited. The paper is a step toward bridging this gap and providing some recommendations on how city foresight in the Global South might differ from its counterparts in the Global North.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46331030","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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