Improved GM(1, 1) model based on concave sequences and its applications

2017 ◽  
Vol 7 (3) ◽  
pp. 343-352
Author(s):  
Xinhai Kong ◽  
Peng Zhang ◽  
Xin Ma

Purpose The purpose of this paper is to improve the GM(1, 1) model based on concave sequences. Design/methodology/approach First, the restored sequence of the GM(1, 1) model is proved to be convex, and the residual characters of the GM(1, 1) model for concave sequences are analyzed. Second, two symmetry transformations are introduced to transform an original concave sequence into a convex sequence, and then the GM(1, 1) model is established based on the convex sequence. Findings Compared with the traditional modeling method, the new method has high accuracy and is applicable for all concave sequence modeling. Practical implications Two cases are used to illustrate the superiority of this modeling method. Case A is to predict China’s per capita natural gas consumption, and case B is to predict the annual output of an oilfield. Originality/value The application scope of GM (1, 1) model is greatly extended.

2015 ◽  
Vol 27 (4) ◽  
pp. 382-396 ◽  
Author(s):  
Seyed Amir Bolboli ◽  
Markus Reiche

Purpose – The purpose of this paper is to propose a roadmap for operationalizing EFQM excellence model based on the RADAR logic and in parallel develop a new concept for selecting the firm-specific EFQM measures based on the level of maturity and the prevailing corporate culture. Design/methodology/approach – A comprehensive review of literature leads to a clarification of the relation between EFQM measures and RADAR logic and also identification of the requirements for assessment of culture and determination of maturity level in the context of EFQM excellence model. Based on these requirements, existing culture assessment approaches and maturity assessment methods have been evaluated. Findings – The main outcome of this research is a new concept for efficient design of EFQM excellence model. This concept consist of three main parts: assessment of culture types in context of EFQM; assessment of maturity level; and design of EFQM measures based on RADAR logic. The findings are expected to reduce the effort for implementation of EFQM by designing tailored measures that fit to the existing culture and maturity level. Practical implications – The findings of this study are relevant to multinational large firms that deal with EFQM or similar excellence models. Originality/value – This paper presents a new concept for designing EFQM in the light of prevailing corporate culture and maturity level, which in one hand needs fewer resources and on the other hand it is more effective in implementation.


2018 ◽  
Vol 6 (4) ◽  
pp. 376-384
Author(s):  
Xinhai Kong ◽  
Yong Zhao ◽  
Jiajia Chen

Abstract Although the grey forecasting model has been successfully adopted in various fields and demonstrated promising results, the literatures show its performance could be further improved, such as for the DGM(1,1) model, based on a concave sequence, the modeling error will be larger. In this paper, firstly the definition of sequence convexity is given out, and it is proved that the output sequence of DGM(1,1) model is a convex sequence. Next, the residual change law of DGM(1,1) model based on the concave sequence is discussed, and the non-equidistance DGM(1,1) model is proposed. Finally, by introducing the symmetry transformation, a concave sequence is transformed into a convex sequence, called the symmetric sequence of the concave sequence, and then construct the non-equidistance DGM(1,1) model based on the convex sequence. The example results show that the novel method is more accurate than the direct modeling for a concave sequence.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vicente Humberto Monteverde

Purpose The purpose of this paper is to establish the theory of the fraud star and the formulation of its microeconomic model, based on the behavioural sciences. Design/methodology/approach The methodology is a practical exploration, first in the convergence of the economics of fraud and the behavioural sciences, based on these tools, formulating the new theory of the star of fraud and formulating its microeconomic model. Findings The paper concludes with a new model of the fraud star theory and its microeconomic modelling. Take into account the new theory of the fraud star of this article. Research limitations/implications There are no limitations in the model. Practical implications The practical implications are to apply the new fraud star theory and calculate your income, in different scenarios. Social implications The social implication is to know the income for the crime of fraud, according to the level of regulations, control and effective punishment. Originality/value The present work is original; there is no new theory of the fraud star, nor its microeconomic model, and it does not exist in the academic field, only in this work.


2019 ◽  
Vol 32 (4) ◽  
pp. 455-471
Author(s):  
Jorge Cruz-Cárdenas ◽  
Jorge Guadalupe-Lanas ◽  
Ekaterina Zabelina ◽  
Andrés Palacio-Fierro ◽  
Margarita Velín-Fárez ◽  
...  

Purpose The purpose of this paper is to understand in-depth how consumers create value in their lives using WhatsApp, the leading mobile instant messaging (MIM) application. Design/methodology/approach The study adopts the perspective of customer-dominant logic (CDL) and uses a qualitative multimethod design involving 3 focus groups and 25 subsequent in-depth interviews. The research setting was Ecuador, a Latin American country. Findings Analysis and interpretation of the participants’ stories made it possible to identify and understand the creation of four types of value: maintaining and strengthening relationships; improving role performance; emotional support; and entertainment and fun. In addition, the present study proposes a conceptual model of consumer value creation as it applies to MIM. Practical implications Understanding the way consumers create value in their lives using MIM is important not only for organizations that offer MIM applications, but also for those companies that develop other applications for mobile phones or for those who wish to use MIM as an electronic word-of-mouth vehicle. Originality/value The current study is one of the first to address the topic of consumer behavior in the use of technologies from the perspective of CDL; this perspective enables an integrated qualitative vision of value creation in which the consumer is the protagonist.


2019 ◽  
Vol 25 (3) ◽  
pp. 378-396 ◽  
Author(s):  
Arian Razmi-Farooji ◽  
Hanna Kropsu-Vehkaperä ◽  
Janne Härkönen ◽  
Harri Haapasalo

Purpose The purpose of this paper is twofold: first, to understand data management challenges in e-maintenance systems from a holistically viewpoint through summarizing the earlier scattered research in the field, and second, to present a conceptual approach for addressing these challenges in practice. Design/methodology/approach The study is realized as a combination of a literature review and by the means of analyzing the practices on an industry leader in manufacturing and maintenance services. Findings This research provides a general understanding over data management challenges in e-maintenance and summarizes their associated proposed solutions. In addition, this paper lists and exemplifies different types and sources of data which can be collected in e-maintenance, across different organizational levels. Analyzing the data management practices of an e-maintenance industry leader provides a conceptual approach to address identified challenges in practice. Research limitations/implications Since this paper is based on studying the practices of a single company, it might be limited to generalize the results. Future research topics can focus on each of mentioned data management challenges and also validate the applicability of presented model in other companies and industries. Practical implications Understanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges. Originality/value The so-far literature on e-maintenance has been studied with narrow focus to data and data management in e-maintenance appears as one of the less studied topics in the literature. This research paper contributes to e-maintenance by highlighting the deficiencies of the discussion surrounding the perspectives of data management in e-maintenance by studying all common data management challenges and listing different types of data which need to be acquired in e-maintenance systems.


2020 ◽  
Vol 27 (3) ◽  
pp. 755-770
Author(s):  
Maria Krambia-Kapardis

Purpose The purpose of this study is to develop a profile of whistleblowers and to determine whether whistleblowing legislation would encourage those individuals to bring to light some illegal or unethical behaviour that otherwise would remain in the shadows. Design/methodology/approach Having identified whistleblowing correlation, a survey was carried out in Cyprus of actual whistleblowers and could-have-been whistleblowers. Findings Males between 46 and55 years of age, regardless of whether they have dependents or hold senior positions in organizations are significantly more likely to blow the whistle. However, could-have-been whistleblowers did not go ahead because they felt that the authorities would not act on their information. Research limitations/implications Because of the sensitive nature of the research topic and the fact that only whistleblowers or intended whistleblowers could participate in the study, the sample size is limited as a result. This, in turn, limits both the number of respondents in each category (actual and intended) as well as constrains the statistical analysis that could be carried out on the data. Practical implications It remains to be seen whether EU Member States shall implement the European Directive 2019/1937 on the protection of persons who report breaches of Union Law, in its entirety by the due date, namely December 2021. Originality/value This study provides a literature review of whistleblowing and reports an original survey against the backdrop of the European Directive.


2020 ◽  
Vol 36 (8) ◽  
pp. 29-31

Purpose Reviews the latest management developments across the globe and pinpoints practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings The problem with developing a reputation of being something of an oracle in the business world is that all of a sudden, everyone expects you to pull off the trick of interpreting the future on a daily basis. Like a freak show circus act or one-hit wonder pop singer, people expect you to perform when they see you, and they expect you to perform the thing that made you famous, even if it is the one thing in the world you don’t want to do. And when you fail to deliver on these heightened expectations, you are dismissed as a one trick pony, however good that trick is in the first place. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


2020 ◽  
Vol 33 (8) ◽  
pp. 2053-2076 ◽  
Author(s):  
Osamuyimen Egbon ◽  
Chijoke Oscar Mgbame

PurposeThe paper examines how oil multinational companies (MNCs) in Nigeria framed accounts to dissociate themselves from causing oil spills.Design/methodology/approachThe authors utilised data from relevant corporate reports, external accounts and interviews, and used sensegiving with defensive behaviours theoretical framing to explore corporate narratives aimed at altering stakeholders' perceptions.FindingsThe corporations gave sense to their audience by invoking scapegoating blame avoidance narrative in attributing the cause of most oil spills in Nigeria to outsiders (sabotage), despite potentially misclassifying the sabotage-corrosion dichotomy. Corporate stance was reinforced through justifying narrative, which suggested that multi-stakeholders jointly determined the causes of oil spills, thus portraying corporate accounts as transparent, credible and objective.Research limitations/implicationsThe socio-political dynamics in an empirical setting affect corporate accounts and how those accounts appear persuasive, implying that such contextual factors merit consideration when evaluating corporate accounts. For example, despite contradictions in corporate accounts, corporate attribution of oil spills to external factors appeared persuasive due to the inherently complicated socio-political dynamics.Practical implicationsWith compensation to oil spills' victims only legally permitted for non-sabotage-induced spills alongside the burden of proof on the victims, the MNCs are incentivised to attribute most oil spills to sabotage. On policy implication, accountability would be best served when the MNCs are tasked both with the burden of proof and a responsibility to demonstrate their transparency in preventing oil spills, including those caused by sabotage.Originality/valueCrisis situations generate multiple and competing perspectives, but sensegiving and defensive behaviours lenses enrich our understanding of how crisis-ridden companies frame narratives to alter stakeholders' perceptions. Accounts-giving therefore partly satisfies accountability demands, and acts as sensegiving signals aimed at reframing/redefining existing perceptions.


2018 ◽  
Vol 19 (4) ◽  
pp. 1-3
Author(s):  
Robert Van Grover

Purpose To summarize and interpret a Risk Alert issued on April 12, 2018 by the US SEC’s Office of Compliance Inspections and Examinations (OCIE) on the most frequent advisory fee and expense compliance issues identified in recent examinations of investment advisers. Design/methodology/approach Summarizes deficiencies identified by the OCIE staff pertaining to advisory fees and expenses in the following categories: fee billing based on incorrect account valuations, billing fees in advance or with improper frequency, applying incorrect fee rates, omitting rebates and applying discounts incorrectly, disclosure issues involving advisory fees, and adviser expense misallocations. Findings In the Risk Alert, OCIE staff emphasized the importance of disclosures regarding advisory fees and expenses to the ability of clients to make informed decisions, including whether or not to engage or retain an adviser. Practical implications In light of the issues identified in the Risk Alert, advisers should assess the accuracy of disclosures and adequacy of policies and procedures regarding advisory fee billing and expenses. As a matter of best practice, advisers should implement periodic forensic reviews of billing practices to identify and correct issues relating to fee billing and expenses. Originality/value Expert guidance from experienced investment management lawyer.


Author(s):  
Paul Ranson ◽  
Daniel Guttentag

Purpose This study aimed to investigate whether increasing the social presence within an Airbnb lodging environment could nudge guests toward altruistic cleaning behaviors. Design/methodology/approach The study was based around a theoretical framework combining the social-market versus money-market relationship model, nudge theory and social presence theory. A series of three field experiments were conducted, in which social presence was manipulated to test its impact on guest cleaning behaviors prior to departure. Findings The experimental results confirmed the underlying hypothesis that an Airbnb listing’s enhanced social presence can subtly induce guests to help clean their rental units prior to departure. Originality/value This study is the first to examine behavioral nudging in an Airbnb context. It is also one of the first field experiments involving Airbnb. The study findings offer clear theoretical and practical implications.


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