Pub Date : 2021-07-14DOI: 10.1108/MBE-02-2021-0021
H. Al-Dhaafri, M. Alosani
Purpose The purpose of this study is to study the collective effect of leadership, strategic planning and entrepreneurial organizational culture (EOC) on organizational excellence. Design/methodology/approach Using primary data obtained through a survey questionnaire, hypotheses have been developed for testing. Out of a total of 565 questionnaires, only 355 questionnaires were returned where data were collected from the Dubai police organization. The structural equation modelling (SEM) approach was used to analyse the collected data. Findings Statistical findings using SEM-partial least square confirmed the full mediating role of strategic planning as a mechanism between leadership and organizational excellence. In addition, the results reported a significant effect of leadership on strategic planning besides its impact on organizational excellence. Practical implications Results reported many valuable implications. The outcomes of this study have practical implications that will help managers, decision-makers and practitioners to consider the study’s variables to enhance the overall performance through achieving excellence. Originality/value The collective role of leadership, strategic planning, EOC and organizational excellence is studied as one of the most important empirical studies which bring original contribution to the existing body of knowledge.
{"title":"Role of leadership, strategic planning and entrepreneurial organizational culture towards achieving organizational excellence: evidence from public sector using SEM","authors":"H. Al-Dhaafri, M. Alosani","doi":"10.1108/MBE-02-2021-0021","DOIUrl":"https://doi.org/10.1108/MBE-02-2021-0021","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to study the collective effect of leadership, strategic planning and entrepreneurial organizational culture (EOC) on organizational excellence.\u0000\u0000\u0000Design/methodology/approach\u0000Using primary data obtained through a survey questionnaire, hypotheses have been developed for testing. Out of a total of 565 questionnaires, only 355 questionnaires were returned where data were collected from the Dubai police organization. The structural equation modelling (SEM) approach was used to analyse the collected data.\u0000\u0000\u0000Findings\u0000Statistical findings using SEM-partial least square confirmed the full mediating role of strategic planning as a mechanism between leadership and organizational excellence. In addition, the results reported a significant effect of leadership on strategic planning besides its impact on organizational excellence.\u0000\u0000\u0000Practical implications\u0000Results reported many valuable implications. The outcomes of this study have practical implications that will help managers, decision-makers and practitioners to consider the study’s variables to enhance the overall performance through achieving excellence.\u0000\u0000\u0000Originality/value\u0000The collective role of leadership, strategic planning, EOC and organizational excellence is studied as one of the most important empirical studies which bring original contribution to the existing body of knowledge.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46315681","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 : 2021-07-09DOI: 10.1108/MBE-12-2020-0173
Rayees Farooq, Almaas Sultana
Purpose This study aims to test the relationship between work from home (WFH) and employee productivity during the COVID-19 pandemic. This study also examines the moderating role of gender in the relationship between WFH and employee productivity. Design/methodology/approach A sample of 250 respondents from hospitality, banking and information technology was taken from the National Capital Region and Punjab State of India. The hypotheses were tested using structural equation modeling and multi-group moderation analysis. Findings The findings provide support for the negative relationship between WFH and employee productivity. This study also provides empirical evidence that gender moderates the relationship between WFH and employee productivity. Originality/value This study is the first of its kind to test the relationship between WFH and employee productivity during the COVID-19 pandemic. This study contributes to the organizational behavior literature by providing empirical support to the organizational adaptation theory.
{"title":"The potential impact of the COVID-19 pandemic on work from home and employee productivity","authors":"Rayees Farooq, Almaas Sultana","doi":"10.1108/MBE-12-2020-0173","DOIUrl":"https://doi.org/10.1108/MBE-12-2020-0173","url":null,"abstract":"\u0000Purpose\u0000This study aims to test the relationship between work from home (WFH) and employee productivity during the COVID-19 pandemic. This study also examines the moderating role of gender in the relationship between WFH and employee productivity.\u0000\u0000\u0000Design/methodology/approach\u0000A sample of 250 respondents from hospitality, banking and information technology was taken from the National Capital Region and Punjab State of India. The hypotheses were tested using structural equation modeling and multi-group moderation analysis.\u0000\u0000\u0000Findings\u0000The findings provide support for the negative relationship between WFH and employee productivity. This study also provides empirical evidence that gender moderates the relationship between WFH and employee productivity.\u0000\u0000\u0000Originality/value\u0000This study is the first of its kind to test the relationship between WFH and employee productivity during the COVID-19 pandemic. This study contributes to the organizational behavior literature by providing empirical support to the organizational adaptation theory.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48597223","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 : 2021-07-08DOI: 10.1108/MBE-02-2021-0017
D. Kucherov, V. S. Tsybova
Purpose The purpose of this paper is to investigate the impact of e-recruitment practices on e-recruitment outcomes in Russian companies. Design/methodology/approach This study uses the quantitative approach based on a survey of a sample encompassing 449 companies in Russia. Findings E-recruitment practices are positively related to e-recruitment outcomes. However, e-recruitment usage does not mediate the relationship between e-recruitment practices and e-recruitment outcomes. Research limitations/implications The extent to which the findings of this research can be generalized is constrained by a single country and cross-sectional data. Originality/value The current study is the first to present the e-recruitment practices, including both internet-based ones and internal technology-enabled solutions, within the overall context of human resource management (HRM) digitalization in the companies and specific HRM outcomes.
{"title":"The contribution of e-recruitment practices to e-recruitment outcomes in Russian companies","authors":"D. Kucherov, V. S. Tsybova","doi":"10.1108/MBE-02-2021-0017","DOIUrl":"https://doi.org/10.1108/MBE-02-2021-0017","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to investigate the impact of e-recruitment practices on e-recruitment outcomes in Russian companies.\u0000\u0000\u0000Design/methodology/approach\u0000This study uses the quantitative approach based on a survey of a sample encompassing 449 companies in Russia.\u0000\u0000\u0000Findings\u0000E-recruitment practices are positively related to e-recruitment outcomes. However, e-recruitment usage does not mediate the relationship between e-recruitment practices and e-recruitment outcomes.\u0000\u0000\u0000Research limitations/implications\u0000The extent to which the findings of this research can be generalized is constrained by a single country and cross-sectional data.\u0000\u0000\u0000Originality/value\u0000The current study is the first to present the e-recruitment practices, including both internet-based ones and internal technology-enabled solutions, within the overall context of human resource management (HRM) digitalization in the companies and specific HRM outcomes.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":"26 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41264516","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 : 2021-07-01DOI: 10.1108/MBE-01-2021-0009
Hasan Valiyan, Mohammadreza Abdoli, M. Saghari
Purpose Considering the constraints on resources and the need for firms’ planning to avoid recession and underdevelopment, enhanced investment efficiency would promote the capital market attractiveness and increase the performance of capital market investment. Empowering these markets through investment efficiency requires to promote the flow of information disclosure to stakeholders to provide the greater coherence and integration of information, enhance equal decision-making capabilities and promote trust and confidence in the company. The present study aims to examine the impact of stakeholder relationship capability on investment efficiency through testing the mosaic theory. Design/methodology/approach In this study, two criteria (namely, the ratio of net fixed assets to total assets and investment level) were used to measure investment efficiency. Furthermore, meta-synthesis and Delphi analyses were adopted based on a five-point Likert scale to measure the development of stakeholder relationship capability. To collect the research data, the questionnaires were sent to 142 companies in 2019, of which 112 questionnaires were returned by the managers of the firms listed in Tehran Stock Exchange. To fit and test the research hypothesis, partial least squares analysis was used. Findings After confirming the fit of the model, the results revealed that the stakeholder relationship capability had a positive and significant effect on investment efficiency. Originality/value With regard to the mosaic theory, this finding confirms that the equity of information in reflecting news and knowledge among stakeholders can promote the role of the firm’s stakeholder relationship capability, thus enhancing the investment efficiency.
{"title":"Stakeholder relationship capability and investment efficiency: a mosaic theory test","authors":"Hasan Valiyan, Mohammadreza Abdoli, M. Saghari","doi":"10.1108/MBE-01-2021-0009","DOIUrl":"https://doi.org/10.1108/MBE-01-2021-0009","url":null,"abstract":"\u0000Purpose\u0000Considering the constraints on resources and the need for firms’ planning to avoid recession and underdevelopment, enhanced investment efficiency would promote the capital market attractiveness and increase the performance of capital market investment. Empowering these markets through investment efficiency requires to promote the flow of information disclosure to stakeholders to provide the greater coherence and integration of information, enhance equal decision-making capabilities and promote trust and confidence in the company. The present study aims to examine the impact of stakeholder relationship capability on investment efficiency through testing the mosaic theory.\u0000\u0000\u0000Design/methodology/approach\u0000In this study, two criteria (namely, the ratio of net fixed assets to total assets and investment level) were used to measure investment efficiency. Furthermore, meta-synthesis and Delphi analyses were adopted based on a five-point Likert scale to measure the development of stakeholder relationship capability. To collect the research data, the questionnaires were sent to 142 companies in 2019, of which 112 questionnaires were returned by the managers of the firms listed in Tehran Stock Exchange. To fit and test the research hypothesis, partial least squares analysis was used.\u0000\u0000\u0000Findings\u0000After confirming the fit of the model, the results revealed that the stakeholder relationship capability had a positive and significant effect on investment efficiency.\u0000\u0000\u0000Originality/value\u0000With regard to the mosaic theory, this finding confirms that the equity of information in reflecting news and knowledge among stakeholders can promote the role of the firm’s stakeholder relationship capability, thus enhancing the investment efficiency.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45737173","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 : 2021-06-15DOI: 10.1108/MBE-05-2020-0073
R. L. Manogna, A. Mishra
Purpose Determining the relevant information using financial measures is of great interest for various stakeholders to analyze the performance of the firm. This paper aims at identifying these financial measures (ratios) which critically affect the firm performance. The authors specifically focus on discovering the most prominent ratios using a two-step process. First, the authors use an exploratory factor analysis to identify the underlying dimensions of these ratios, followed by predictive modeling techniques to identify the potential relationship between measures and performance. Design/methodology/approach The study uses data of 25 financial variables for a sample of 1923 Indian manufacturing firms which exist continuously between 2011 and 2018. For prediction models, four popular decision tree algorithms [Chi-squared automatic interaction detector (CHAID), classification and regression trees (C&RT), C5.0 and quick, unbiased, efficient statistical tree (QUEST)] were investigated, and the information fusion-based sensitivity analyses were performed to identify the relative importance of these input measures. Findings Results show that C5.0 and CHAID algorithms produced the best predictive results. The fusion sensitivity results find that net profit margin and total assets turnover rate are the most critical factors determining the firm performance in an Indian manufacturing context. These findings may enable managers in their decision-making process and also have vital implications for investors in assessing the performance of the firm. Originality/value To the best of the authors’ knowledge, the current paper is the first to address the application of decision tree algorithms to predict the performance of manufacturing firms in an emerging economy such as India, with the latest data. This practical perspective helps the organizations in managing the critical parameters for the firm’s growth.
{"title":"Measuring financial performance of Indian manufacturing firms: application of decision tree algorithms","authors":"R. L. Manogna, A. Mishra","doi":"10.1108/MBE-05-2020-0073","DOIUrl":"https://doi.org/10.1108/MBE-05-2020-0073","url":null,"abstract":"\u0000Purpose\u0000Determining the relevant information using financial measures is of great interest for various stakeholders to analyze the performance of the firm. This paper aims at identifying these financial measures (ratios) which critically affect the firm performance. The authors specifically focus on discovering the most prominent ratios using a two-step process. First, the authors use an exploratory factor analysis to identify the underlying dimensions of these ratios, followed by predictive modeling techniques to identify the potential relationship between measures and performance.\u0000\u0000\u0000Design/methodology/approach\u0000The study uses data of 25 financial variables for a sample of 1923 Indian manufacturing firms which exist continuously between 2011 and 2018. For prediction models, four popular decision tree algorithms [Chi-squared automatic interaction detector (CHAID), classification and regression trees (C&RT), C5.0 and quick, unbiased, efficient statistical tree (QUEST)] were investigated, and the information fusion-based sensitivity analyses were performed to identify the relative importance of these input measures.\u0000\u0000\u0000Findings\u0000Results show that C5.0 and CHAID algorithms produced the best predictive results. The fusion sensitivity results find that net profit margin and total assets turnover rate are the most critical factors determining the firm performance in an Indian manufacturing context. These findings may enable managers in their decision-making process and also have vital implications for investors in assessing the performance of the firm.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, the current paper is the first to address the application of decision tree algorithms to predict the performance of manufacturing firms in an emerging economy such as India, with the latest data. This practical perspective helps the organizations in managing the critical parameters for the firm’s growth.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49148713","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 : 2021-05-20DOI: 10.1108/MBE-11-2020-0156
Gianluca Solazzo, Y. Maruccia, Gianluca Lorenzo, V. Ndou, P. D. Vecchio, G. Elia
Purpose This paper aims to highlight how big social data (BSD) and analytics exploitation may help destination management organisations (DMOs) to understand tourist behaviours and destination experiences and images. Gathering data from two different sources, Flickr and Twitter, textual and visual contents are used to perform different analytics tasks to generate insights on tourist behaviour and the affective aspects of the destination image. Design/methodology/approach This work adopts a method based on a multimodal approach on BSD and analytics, considering multiple BSD sources, different analytics techniques on heterogeneous data types, to obtain complementary results on the Salento region (Italy) case study. Findings Results show that the generated insights allow DMOs to acquire new knowledge about discovery of unknown clusters of points of interest, identify trends and seasonal patterns of tourist demand, monitor topic and sentiment and identify attractive places. DMOs can exploit insights to address its needs in terms of decision support for the management and development of the destination, the enhancement of destination attractiveness, the shaping of new marketing and communication strategies and the planning of tourist demand within the destination. Originality/value The originality of this work is in the use of BSD and analytics techniques for giving DMOs specific insights on a destination in a deep and wide fashion. Collected data are used with a multimodal analytic approach to build tourist characteristics, images, attitudes and preferred destination attributes, which represent for DMOs a unique mean for problem-solving, decision-making, innovation and prediction.
{"title":"Extracting insights from big social data for smarter tourism destination management","authors":"Gianluca Solazzo, Y. Maruccia, Gianluca Lorenzo, V. Ndou, P. D. Vecchio, G. Elia","doi":"10.1108/MBE-11-2020-0156","DOIUrl":"https://doi.org/10.1108/MBE-11-2020-0156","url":null,"abstract":"\u0000Purpose\u0000This paper aims to highlight how big social data (BSD) and analytics exploitation may help destination management organisations (DMOs) to understand tourist behaviours and destination experiences and images. Gathering data from two different sources, Flickr and Twitter, textual and visual contents are used to perform different analytics tasks to generate insights on tourist behaviour and the affective aspects of the destination image.\u0000\u0000\u0000Design/methodology/approach\u0000This work adopts a method based on a multimodal approach on BSD and analytics, considering multiple BSD sources, different analytics techniques on heterogeneous data types, to obtain complementary results on the Salento region (Italy) case study.\u0000\u0000\u0000Findings\u0000Results show that the generated insights allow DMOs to acquire new knowledge about discovery of unknown clusters of points of interest, identify trends and seasonal patterns of tourist demand, monitor topic and sentiment and identify attractive places. DMOs can exploit insights to address its needs in terms of decision support for the management and development of the destination, the enhancement of destination attractiveness, the shaping of new marketing and communication strategies and the planning of tourist demand within the destination.\u0000\u0000\u0000Originality/value\u0000The originality of this work is in the use of BSD and analytics techniques for giving DMOs specific insights on a destination in a deep and wide fashion. Collected data are used with a multimodal analytic approach to build tourist characteristics, images, attitudes and preferred destination attributes, which represent for DMOs a unique mean for problem-solving, decision-making, innovation and prediction.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46316548","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 : 2021-05-18DOI: 10.1108/MBE-07-2019-0072
J. Sládková, Daniela Kolomazníková, S. Formankova, O. Trenz, J. Kolomazník, Oldrich Faldik
Purpose The sustainable and responsible investing (SRI) is the part of sustainable investment which focusses on mutual funds. The purpose of this paper is to map and evaluate all the active European SRI funds, their performances and correlation with the national identity. Design/methodology/approach The sample of the research was analysed with descriptive statistics, mainly the frequency, the mean and the correlation analysis. A well-known volatility is represented by the synthetic risk and reward indicator (SRRI). Other two ratings are the environmental, social and governance (ESG) funds score distribution and the ESG funds letter rating distribution. Findings SRI investment may seem to be performing better than in the funds with a different focus. The segment of SRI funds will grow for the next decade. Research limitations/implications There is a lack of definitions and clear metrics for sustainable investing. For better performance, it would be also appropriate to examine each country separately. Practical implications This paper is part of the project targeting to design a model and methodology of SI evaluation taking into account ESG factors and risks, including profitability in a selected sector. This model can be used by investors for better decision-making. Social implications The paper focusses on the funds selecting investments that fulfil ESG criteria, which are part of the social responsibility and sustainability. Originality/value An analysis of the current approaches to evaluating investments shows that the key barrier in the transitions to sustainable investment is not taking into account the ESG factors. The research in this paper includes the ESG factors in the evaluation.
{"title":"Sustainable and responsible investment funds in Europe","authors":"J. Sládková, Daniela Kolomazníková, S. Formankova, O. Trenz, J. Kolomazník, Oldrich Faldik","doi":"10.1108/MBE-07-2019-0072","DOIUrl":"https://doi.org/10.1108/MBE-07-2019-0072","url":null,"abstract":"\u0000Purpose\u0000The sustainable and responsible investing (SRI) is the part of sustainable investment which focusses on mutual funds. The purpose of this paper is to map and evaluate all the active European SRI funds, their performances and correlation with the national identity.\u0000\u0000\u0000Design/methodology/approach\u0000The sample of the research was analysed with descriptive statistics, mainly the frequency, the mean and the correlation analysis. A well-known volatility is represented by the synthetic risk and reward indicator (SRRI). Other two ratings are the environmental, social and governance (ESG) funds score distribution and the ESG funds letter rating distribution.\u0000\u0000\u0000Findings\u0000SRI investment may seem to be performing better than in the funds with a different focus. The segment of SRI funds will grow for the next decade.\u0000\u0000\u0000Research limitations/implications\u0000There is a lack of definitions and clear metrics for sustainable investing. For better performance, it would be also appropriate to examine each country separately.\u0000\u0000\u0000Practical implications\u0000This paper is part of the project targeting to design a model and methodology of SI evaluation taking into account ESG factors and risks, including profitability in a selected sector. This model can be used by investors for better decision-making.\u0000\u0000\u0000Social implications\u0000The paper focusses on the funds selecting investments that fulfil ESG criteria, which are part of the social responsibility and sustainability.\u0000\u0000\u0000Originality/value\u0000An analysis of the current approaches to evaluating investments shows that the key barrier in the transitions to sustainable investment is not taking into account the ESG factors. The research in this paper includes the ESG factors in the evaluation.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48992368","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 : 2021-05-18DOI: 10.1108/MBE-12-2020-0161
D. Aloini, Loretta Latronico, L. Pellegrini
Purpose In the past decade, in the space industry, many initiatives intended at offering open access to big data from space multiplied. Therefore, firms started adopting business models (BMs) which lever on digital technologies (e.g. cloud computing, high-performance computing and artificial intelligence), to seize these opportunities. Within this scenario, this article aims at answering the following research question: which digital technologies do impact which components the BM is made of? Design/methodology/approach An exploratory multiple case study approach was used. Three cases operating in the space industry that lever on digital technologies to implement their business were analyzed. Despite concerns regarding reliability and validity, multiple case studies allow greater understanding of causality, and show superiority respect to quantitative studies for theory building. Findings Big data, system integration (artificial intelligence, high-performance computing) and cloud computing seem to be pivotal in the space industry. It emerges that digital technologies involve all the different areas and components of the BM. Originality/value This paper sheds light on the impact that digital technologies have on the different BM components. It is only understanding which technologies can support the value proposition, which technologies make the infrastructural part able to support this proposition, which technologies may be helpful for delivering and communicating this value to customers and which technologies may help firms to appropriate the value that it is possible to seize the impact of digital technologies on BM.
{"title":"The impact of digital technologies on business models. Insights from the space industry","authors":"D. Aloini, Loretta Latronico, L. Pellegrini","doi":"10.1108/MBE-12-2020-0161","DOIUrl":"https://doi.org/10.1108/MBE-12-2020-0161","url":null,"abstract":"\u0000Purpose\u0000In the past decade, in the space industry, many initiatives intended at offering open access to big data from space multiplied. Therefore, firms started adopting business models (BMs) which lever on digital technologies (e.g. cloud computing, high-performance computing and artificial intelligence), to seize these opportunities. Within this scenario, this article aims at answering the following research question: which digital technologies do impact which components the BM is made of?\u0000\u0000\u0000Design/methodology/approach\u0000An exploratory multiple case study approach was used. Three cases operating in the space industry that lever on digital technologies to implement their business were analyzed. Despite concerns regarding reliability and validity, multiple case studies allow greater understanding of causality, and show superiority respect to quantitative studies for theory building.\u0000\u0000\u0000Findings\u0000Big data, system integration (artificial intelligence, high-performance computing) and cloud computing seem to be pivotal in the space industry. It emerges that digital technologies involve all the different areas and components of the BM.\u0000\u0000\u0000Originality/value\u0000This paper sheds light on the impact that digital technologies have on the different BM components. It is only understanding which technologies can support the value proposition, which technologies make the infrastructural part able to support this proposition, which technologies may be helpful for delivering and communicating this value to customers and which technologies may help firms to appropriate the value that it is possible to seize the impact of digital technologies on BM.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46053646","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 : 2021-05-13DOI: 10.1108/MBE-07-2020-0104
S. Prakash, N. Jasti, F. Chan, Nilaish, V. Sharma, L. Sharma
{"title":"Decision modelling of critical success factors for cold chains using the DEMATEL approach: a case study","authors":"S. Prakash, N. Jasti, F. Chan, Nilaish, V. Sharma, L. Sharma","doi":"10.1108/MBE-07-2020-0104","DOIUrl":"https://doi.org/10.1108/MBE-07-2020-0104","url":null,"abstract":"","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45710976","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 : 2021-05-10DOI: 10.1108/MBE-11-2020-0155
Kathrin Kirchner, R. Jørgensen, E. Bolisani, E. Scarso
Enterprise social media (ESM) platforms are rapidly diffusing in the business context because they can bring substantial benefits to companies by enhancing their knowledge management (KM) processes. However, such benefits materialize only if active employee participation is ensured. Therefore, it is crucial to understand how individual employees use an ESM platform to assist their knowledge-related activities. This paper contributes to this topic by proposing a classification of ESM users based on two dimensions: frequency and type (active or passive) of use.,The paper presents the results of a survey of 262 employees of an international engineering service company that has adopted an ESM platform to support its KM processes. Statistical methods (e.g. ANOVA, Tukey’s b) were applied to verify the usefulness of the proposed typology and identify the main aspects that characterize the different user groups.,The survey results confirm the existence of different types of ESM users and provide the empirical basis for developing a bi-dimensional classification from which four user groups were derived and characterized: frequent contributors, sporadic contributors, frequent lurkers and sporadic lurkers.,The main limitation is that only one company in one sector with specific knowledge needs and capabilities was investigated.,The study provides useful suggestions for how to promote the use of an ESM and particularly for how to encourage less frequent and less active users to increase their participation in a platform.,The paper contributes to a better understanding of how employees approach ESM by identifying factors that characterize different user groups.
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