{"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":null,"pages":null},"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}
Gianluca Solazzo, Y. Maruccia, Gianluca Lorenzo, V. Ndou, P. D. Vecchio, G. Elia
{"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":null,"pages":null},"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}
J. Sládková, Daniela Kolomazníková, S. Formankova, O. Trenz, J. Kolomazník, Oldrich Faldik
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
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":null,"pages":null},"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}
Kathrin Kirchner, R. Jørgensen, E. Bolisani, E. Scarso
{"title":"A bi-dimensional classification and characterization of enterprise social media users","authors":"Kathrin Kirchner, R. Jørgensen, E. Bolisani, E. Scarso","doi":"10.1108/MBE-11-2020-0155","DOIUrl":"https://doi.org/10.1108/MBE-11-2020-0155","url":null,"abstract":"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.","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42507096","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}
{"title":"Organisational sustainability scale-measuring employees’ perception on sustainability of organisation","authors":"N. Balasubramanian, M. Balaji","doi":"10.1108/MBE-06-2020-0093","DOIUrl":"https://doi.org/10.1108/MBE-06-2020-0093","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to conceptualise and develop a scale for measuring employees’ perception on the sustainability of service organisations. With several companies adopting sustainability initiatives, it is prudent to measure the sustainability performance of those companies. Given the multidisciplinary nature of the sustainability measures and its associated challenges, this paper attempts to develop a scale to measure employees’ perception of sustainability of an organisation.\u0000\u0000\u0000Design/methodology/approach\u0000A structured questionnaire was developed and 977 samples were collected based on snowball sampling method. For scale development, this study randomised 586 samples to conduct exploratory factor analysis (EFA) and used the remaining samples for validation using confirmatory factor analysis (CFA).\u0000\u0000\u0000Findings\u0000The existing literature on sustainability focusses on three dimensions, namely, economic, social and environmental sustainability measures. This paper explored the similarities of the three dimensions to serve as critical determinants for measuring employees’ perception of sustainability with the collected data from service industries. The EFA revealed that there were six factors for organisational sustainability with 26 questionnaire items. The six factors are as follows: environment management, employee-related sustainability, public related sustainability, financial sustainability, pollution control measures and governance sustainability. The identified factors were tested using CFA and the results are discussed.\u0000\u0000\u0000Research limitations/implications\u0000This paper will be beneficial for the academicians in sustainability and the policy-makers as it provides a scale to measure employees’ perception on the sustainability of an organisation. This paper adds value to the research by providing a six-factor measurement model for organizational sustainability of selected service industries.\u0000\u0000\u0000Practical implications\u0000The paper is highly beneficial to the organisations to measure employees’ perception on sustainability and ascertain their position in supporting the holistic development of environment and society, thereby improving the goodwill and reputation of the organisation.\u0000\u0000\u0000Originality/value\u0000This paper provides insights about measuring employees’ perception on organizational sustainability. A six-factor measurement model has been proposed for organisational sustainability.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2021-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44634615","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}
Nicola Raimo, Filippo Vitolla, G. Nicolò, Paolo Tartaglia Polcini
{"title":"CSR disclosure as a legitimation strategy: evidence from the football industry","authors":"Nicola Raimo, Filippo Vitolla, G. Nicolò, Paolo Tartaglia Polcini","doi":"10.1108/MBE-11-2020-0149","DOIUrl":"https://doi.org/10.1108/MBE-11-2020-0149","url":null,"abstract":"\u0000Purpose\u0000The latest developments in the football industry, the commodification of sport, the excessive focus on profitability and the limited attention to social and environmental aspects have caused a legitimation crisis for football clubs. According to the legitimacy theory, the corporate social responsibility (CSR) disclosure represents a tool capable of allowing the construction or repair of legitimacy. This study, in line with this theory, aims to analyse the amount of CSR disclosure provided by football clubs and the determinants, related to visibility, of the level of information provided.\u0000\u0000\u0000Design/methodology/approach\u0000This study uses a manual content analysis on the corporate websites of the 80 football clubs that qualified for the UEFA Champions League and UEFA Europa League group stages for the 2019–2020 year to measure the level of CSR disclosure and subsequently a regression analysis to examine the impact of visibility on the amount of information provided.\u0000\u0000\u0000Findings\u0000Results reveal that football clubs still disclose relatively little information about sustainability issues, and that sports performance visibility, human capital visibility and social media visibility positively affect the amount of information that football clubs disclose.\u0000\u0000\u0000Originality/value\u0000This study extends the horizons of CSR disclosure to the football industry which is still little explored in the academic literature. Furthermore, it extends the scope of legitimacy theory, showing how CSR disclosure can be a means for football clubs to obtain or repair legitimacy. Furthermore, this study extends the list of determinants of the level of CSR disclosure, showing that visibility can influence the amount of CSR information.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41656756","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}
P. Zaragoza-Sáez, B. Marco‐Lajara, M. Úbeda‐García
{"title":"Digital skills in tourism. A study from the Next Tourism Generation (NTG) Alliance","authors":"P. Zaragoza-Sáez, B. Marco‐Lajara, M. Úbeda‐García","doi":"10.1108/MBE-11-2020-0151","DOIUrl":"https://doi.org/10.1108/MBE-11-2020-0151","url":null,"abstract":"\u0000Purpose\u0000This paper aims to identify the gap existing between the current and future needs regarding digital skills, as well as the training needs for the 2030 horizon in Spanish tourism organisations belonging to five subsectors (accommodation, food and beverage, destination management, visitor attractions and travel agents and tour operators).\u0000\u0000\u0000Design/methodology/approach\u0000A mixed research methodology, which combined qualitative and quantitative approaches, served as the basis for this research work. Qualitative research took place between April 2018 and March 2019 and went through three stages: desk research, focus groups and interviews. Quantitative research developed from January to June 2019 by means of an online administered survey (Qualtrics). In total, 139 Spanish tourism organisations participated.\u0000\u0000\u0000Findings\u0000Tourism organisations analysed consider that digital skills are still an unresolved issue. Employees are willing to operate in environments where technology has an increasingly leading role. However, organisations believe that there remains a lot to be done until employees have, both at present and by the year 2030, a suitable level of digital skills enabling them to operate in the tourism subsectors analysed.\u0000\u0000\u0000Originality/value\u0000This study is framed within the European project called Next Tourism Generation (NTG), which involves 14 partners from eight countries. The findings obtained will help to develop a Europe Blueprint Strategy for digital skills within the tourism and hospitality sector, to provide employees, employers, entrepreneurs, teachers, trainers and students with a set of core digital skills represented in a skills matrix.\u0000","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48797896","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}
{"title":"Modelling and managing innovation lab as catalyst of digital transformation: theoretical and empirical evidence","authors":"F. Santarsiero, A. Lerro, D. Carlucci, G. Schiuma","doi":"10.1108/MBE-11-2020-0152","DOIUrl":"https://doi.org/10.1108/MBE-11-2020-0152","url":null,"abstract":"","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46376626","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}