Statistical Analysis Results and Practical Implications of the SEE Surveys

Author(s):  
Yasuo Kadono
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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wafa Boulagouas ◽  
Rachid Chaib ◽  
Mebarek Djebabra

PurposeImprovements to health and safety at work constantly involve organizational changes (OCs). However, the OC initiatives often fail at achieving their intended goals despite efforts to draw knowledge from various disciplines, such as sociology, psychology and information sciences, to guide the change implementation. This paper proposes a temporality approach to manage the resistance during an OC project based on the capitalization of the actors' behaviors (i.e. alignment/resistance) for successful OC implementation.Design/methodology/approachEmployees in an industrial company (N = 186) undergoing an OC answered a questionnaire survey. The statistical analysis approach was used to measure the influence of the constructs of the proposed temporality capitalization approach on the OC conduct.FindingsResults indicate that the considered constructs have positive and significant correlations with OC development. It has also been found that the employees' alignment is highly correlated with the opportunities they might gain from the OC.Practical implicationsThe proposed temporality capitalization approach shows that providing the employees with clear objectives is not sufficient to support the change, and it is suggested that the change management has to move a step further and seek to target the perspectives of the employees to energize them around the OC and maximize their alignment.Originality/valueIn this paper, change management is approached through the temporality capitalization that confirms the importance of monitoring the change development through the alignment. In other terms, the curve of the adaptation of the change receivers matters and should attract more attention rather than the change implementation speed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mar Vazquez-Noguerol ◽  
Iván González-Boubeta ◽  
Iago Portela-Caramés ◽  
J. Carlos Prado-Prado

PurposeGrocery sellers that have entered the online business must now carry out order fulfilment activities previously done by the customer. Consequently, in a context of online sales growth, the purpose of this study is to identify and implement best practices in order to redesign the order picking process in a retailer with a store-based model.Design/methodology/approachTo identify different work alternatives, an approach is developed to analyse the methods used in distinct stores of one large Spanish grocer. The methodology employed is a three-step statistical analysis that combines ANOVA and MANOVA techniques to settle on the best alternatives in each case.FindingsSubstantial improvements can be achieved by analysing the different working methods. The three-step statistical analysis identified best practices in terms of their impact on preparation time, allowing a faster working method.Practical implicationsTo manage business processes efficiently, online grocers that operate store-based fulfilment strategies can redesign their working method using a criterion based on their own performance.Originality/valueThis is one of the few contributions focusing on the improvement of e-grocery fulfilment operations by disseminating best practices through decision-making criteria. This study contributes by addressing the lack of approaches studying the order picking process by considering its various features and applying best practices.


Author(s):  
Somayeh Asghari ◽  
Sahar Targholi ◽  
Ali Kazemi ◽  
Saeed Shahriyari ◽  
Lila Rajabion

Purpose Competitive intelligence (CI) collects data through the distribution of knowledge to make decisions in a competitive environment. To better comprehend the concept of CI, the purpose of this paper is to determine the role of effective factors (knowledge sharing, competitor information, information technology (IT) and organizational culture) and their impact on CI. In addition, the paper provides a conceptual framework for determining the practical factors on CI. Design/methodology/approach For evaluating the elements of the model, a questionnaire is considered. Questionnaires were reread by specialists with significant experiences in the CI field. For statistical analysis, the SPSS 22 and SmartPLS 3.2 software package is also used. Findings Findings from the study showed the validity of the model for a CI assessment. Furthermore, the results confirmed that the competitor information significantly influenced CI. In addition, the obtained results implied that IT has a significant and positive influence on CI. The effect of organizational culture on CI also proved to be positive and significant. Research limitations/implications This paper makes significant contributions for both researchers and practitioners; however, the authors determine some limitations, which are as follows: First, the authors showed the result in a single region. It cannot be assured that the results are generalizable to other areas. Second, because of time and financial constraints, the authors gathered the data using a sample from a single location. Third, the use of variables to depict CI may be not exhaustive. The authors, therefore, encourage future research to study these CI dimensions. Practical implications This study meaningfully contributes to the knowledge and literature by focusing more on CI, examining other significant aspects and applying advanced statistical analysis method. Also, current research results suggest practical implications for marketing practitioners and managers who implemented tools and made strategic plans to enhance the organization’s performance. From a practical perspective, the statistical results support the crucial role of the following factors: IT, competitor information, organizational culture and knowledge sharing on CI. Originality/value Experts in the area of knowledge management, CI and strategic management can use this study to gain a competitive advantage based on knowledge and information resources. Organizations must have knowledge management function and CI to support the strategy formulation, implementation and evaluation.


2020 ◽  
Vol 12 (4) ◽  
pp. 409-432
Author(s):  
Rafif Al-Sayed ◽  
Jianhua Yang

Purpose This paper aims at studying the concept of innovation ecosystems and investigating the factors affecting them based on their interrelationships with respect to different innovation archetypes. Design/methodology/approach The methodology is based on using multivariate statistical analysis of the inter-correlations among a number of variables which led to extracting a reduced set of new significant factors that affect China’s innovation ecosystem. Findings The results showed that innovation archetypes differ significantly with respect to the majority of the new factors. Practical implications Through identifying these challenges, decision-makers can develop a better understanding of the variables affecting each archetype of innovation and act accordingly. Originality/value The study is the first to fill the gap of addressing a large number of variables affecting innovation and analyzing their interrelationships.


2021 ◽  
Vol 13 (21) ◽  
pp. 11670
Author(s):  
Seung-Man Lee

Given the expectations regarding continued improvement in sports relay broadcasting, research related to Korea Baseball Organization (KBO) relay broadcasting is necessary for it to align with the priorities of viewers. The present study aimed to investigate viewers’ perceptions of the importance and performance of various aspects of KBO relay broadcasting. In May 2021, purposive sampling was used to select 523 participants who had watched KBO broadcasts for more than one year. Participants completed an online survey administered via Google Forms. Frequency analysis, reliability analysis, descriptive statistical analysis, paired t-tests, importance–performance analysis, and revised importance–performance analysis were used to analyze the data. Ratings of importance were higher than those for performance for all sub-factors of KBO relay broadcasting. The IPA, based on the method developed by Martilla and James, yielded 12 factors in Quadrant I, one factor in Quadrant II, five factors in Quadrant III, and two factors in Quadrant IV. In contrast, the use of Vavra’s revised IPA method yielded eight factors in Quadrant I, two factors in Quadrant II, five factors in Quadrant III, and four factors in Quadrant IV. Based on the results derived using these two methods, we discuss the strategic and practical implications of identifying priorities via IPA for future improvements in KBO relay broadcasting.


Author(s):  
Santautė VENSLAVIENĖ ◽  
Jelena STANKEVIČIENĖ

Purpose – In recent years, crowdfunding platforms have become very popular as intermediaries between fundraisers and funders. However, various campaigns published on the platform might be of bad quality or fraudulent, so the crowdfunding platform must be very careful when choosing the right ones. Also, the proper selection depends on the profits of a crowdfunding platform. In most cases, crowdfunding platforms mainly earn money from transaction and administration fees from successful campaigns on their platforms. While it is very hard to select successful cam-paigns, it is possible to analyse already published campaigns and forecast future revenues of crowdfunding platforms. And based on this, to select new projects which might be successful too. The aim of this work is to develop a model to forecast the revenues of crowdfunding platforms. Research methodology – In this research, comparative and statistical analysis will be used, data structuring, modelling and forecasting, performed with the ARIMA model. Findings – Main findings of this research present the three most successful campaign categories from the Kickstarter platform that receives the highest funding. Fees were calculated from those three campaign categories, and revenues for the platform were forecasted using the ARIMA model. Research limitations – Main limitations are that there were used data from a very short period of time. For better results accuracy, a longer period is needed. Practical implications – this research might be of practical use since the forecasts show that the revenues will continue to grow from the successful campaign categories. Consequently, investors should continue to support technology, games and design categories the most. At the same time, crowdfunding platforms should give more attention to these categories when choosing new projects to launch on the platform.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fernando Tavares ◽  
Eulália Santos ◽  
Vasco Tavares

PurposeThis work aims to characterize the risks companies deal with in the context of a pandemic, and to ascertain which risk type is most present in Portuguese organizations. It is also intended to verify whether there are differences in the various risk types between companies that had or did not have a plan or strategy to act in a pandemic, such as the one caused by COVID-19.Design/methodology/approachA quantitative methodology was used, based on the application of a questionnaire survey targeting the Portuguese companies. The sample is composed of 1,647 Portuguese companies, which were queried through a questionnaire survey that analyses different risk types. Then, the software R was used to treat the results.FindingsThe results show that companies are exposed and vulnerable to uncertain events, and five risk types were formed: legal, image, financial, strategic and operational. There is a bigger concern about the management of financial risks.Practical implicationsAcademics and companies can become more aware and master the concept of risk and its different branches, which consequently favours the adoption of strategies to better manage and plan risk.Originality/valueThe literature on international businesses and their risks assumes that all crises are the same. However, the COVID-19 pandemic, besides causing a recession, obliges people and companies to adapt to a new scenario. Risks become more important to companies, in a way that had not been academically studied.


1982 ◽  
Vol 55 (3) ◽  
pp. 755-758 ◽  
Author(s):  
Arthur MacNeill Horton ◽  
Michalle Timmons

The value of the 13 Minnesota Multiphasic Personality Inventory Wiggins Content Scales for the separation of brain-damaged from psychiatric patients was investigated. A sample of 40 males, evenly divided between brain-damaged and psychiatric patients, was administered the MMPI. Statistical analysis yielded a significant difference only for the phobia content scale. Practical implications of the results are discussed.


2018 ◽  
Vol 7 (3.34) ◽  
pp. 611
Author(s):  
Seongsoo Lee ◽  
. .

Background/Objectives: This study aims to investigate whether materialism tendency will act as a moderating variable for the inaction inertia phenomenon.Methods/Statistical analysis: A total of 121 college students were randomly assigned to 2 (difference in attractiveness condition: large vs. small) × 2 (materialism: high vs. low) mixed design. Respondents read two-part scenario and responded to several questions: manipulation check item to assess perceived attractiveness, some questions related to regret (immediate regret, recalled experienced regret, anticipated inaction regret, anticipated action regret), behavioral intention, and demographics.Findings: First, the manipulation of the perception of difference in attractiveness (manipulated with price difference) was as the researcher intended. Immediate regret after missing the initial opportunity, recalled experienced regret, and anticipated action regret were found to be varied on the level of materialism. The level of recalled experienced regret, anticipated action regret, and anticipated inaction regret varied according to the difference in attractiveness conditions. The interaction effects of the level of materialism and difference in attractiveness conditions appeared only for anticipated action regret and anticipated inaction regret. Anticipated action regret and inaction regret were found to have a significant effect on behavioral intention regardless of the level of materialism. On the other hand, recalled experienced regret had a significant impact on behavioral intention only in low-materialist group.Improvements/Applications: This study has theoretical and practical implications from the point of view of how the various kinds of regrets vary according to materialism in the area of inaction inertia effect.  


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