Khalid Iqbal and Muhammad Shehrayar Khan
In this digital era, email is the most pervasive form of communication between people. Many users become a victim of spam emails and their data have been exposed.
Abstract
Purpose
In this digital era, email is the most pervasive form of communication between people. Many users become a victim of spam emails and their data have been exposed.
Design/methodology/approach
Researchers contribute to solving this problem by a focus on advanced machine learning algorithms and improved models for detecting spam emails but there is still a gap in features. To achieve good results, features also play an important role. To evaluate the performance of applied classifiers, 10-fold cross-validation is used.
Findings
The results approve that the spam emails are correctly classified with the accuracy of 98.00% for the Support Vector Machine and 98.06% for the Artificial Neural Network as compared to other applied machine learning classifiers.
Originality/value
In this paper, Point-Biserial correlation is applied to each feature concerning the class label of the University of California Irvine (UCI) spambase email dataset to select the best features. Extensive experiments are conducted on selected features by training the different classifiers.
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Shanzhong Du and June Cao
Industrial robots are of great significance to the long-term development of family firms. Drawing on the lens of the principal–principal conflict, this paper aims to investigate…
Abstract
Purpose
Industrial robots are of great significance to the long-term development of family firms. Drawing on the lens of the principal–principal conflict, this paper aims to investigate the influence of family non-executive directors on robot adoption in Chinese family firms.
Design/methodology/approach
This paper selects the family firms in China from 2011 to 2019 as the sample. Furthermore, the authors manually collected the family non-executive directors and constructed the robot adoption variable utilizing data sourced from the International Federation of Robotics. In brief, this paper constructs a comprehensive framework of the mechanisms and additional tests pertaining to the influence of family non-executive directors on robot adoption.
Findings
This paper finds that family non-executive directors can promote robot adoption in family firms. The underlying mechanism analysis shows that family non-executive directors promote robot adoption by exerting financial and human effects. This paper further finds that the characteristics of family non-executive directors, such as kinship, differential shareholding and excessive directors, affect the role of family non-executive directors. Finally, robot adoption can improve future performance, and the promotional effect is more evident when family members are non-executive directors.
Originality/value
This paper contributes to the related literature from the following two aspects. Firstly, this paper decomposes the types of family directors to understand the role of family non-executive directors, which challenges the assumption that family board members are homogeneous in family firms. Second, this paper expands the research on the factors that influence robot adoption in emerging economies from the micro-enterprise level. In addition, the findings in this paper have managerial implications for family firms to optimize their strategic decisions with the help of the mode of board right allocation.
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Stefan Prigge and Katharina J. Mengers
This chapter presents the current research status of family constitutions from an economics perspective. It locates the family constitution as part of the family and business…
Abstract
This chapter presents the current research status of family constitutions from an economics perspective. It locates the family constitution as part of the family and business governance structure of a family firm and the owner family. The typical structure and content of a family constitution are introduced. The chapter focuses on the status of research about family constitutions and provides a structured map for future research. With regard to extant research, it must be stated that the stock of literature is small. The contributions to literature are categorized in surveys; conceptual contributions; survey data; small sample, qualitative, empirical studies; and big sample, quantitative, empirical studies. The latter group includes three studies with a separate family constitution variable. This small number symbolizes that the family constitution still is an under-researched area. Therefore, family constitution research is far away from being able to answer central questions of advice-seeking owner families like, for example, whether a family constitution affects family performance, firm performance, or both; or whether the development process of a family constitutions disposes of an effect on family or firm performance separately from the hypothesized effect of the family constitution document.
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Anna Róza Varga, Norbert Sipos, Andras Rideg and Lívia Lukovszki
The purpose of this paper is to identify the differences between Hungarian family-owned businesses (FOBs) and non-family-owned businesses (NFOBs) concerning the elements of SME…
Abstract
Purpose
The purpose of this paper is to identify the differences between Hungarian family-owned businesses (FOBs) and non-family-owned businesses (NFOBs) concerning the elements of SME competitiveness and financial performance.
Design/methodology/approach
The research covers the Hungarian data set of the Global Competitiveness Project (GCP, www.sme-gcp.org) of 738 (data collection between 2018 and 2020) non-listed SMEs, of which 328 were FOBs. The study uses the comprehensive, multidimensional competitiveness measurement of the GCP built on the resource-based view (RBV) and the configuration theory. Financial performance was captured with two composite indicators: short-term and long-term financial performance (LTFP). The comparative analysis between FOBs and NFOBs was conducted using binary logistic regression.
Findings
The results show that FOBs are more prone to focusing on local niche markets with higher longevity and LTFP than NFOBs. However, FOBs have lower innovation intensity and less organised administrative procedures. The most contradicting finding is that the FOBs’ higher LTFP is accompanied by significantly lower competitiveness than in the case of NFOBs.
Originality/value
This study goes beyond other GCP studies by including composite financial performance measures among the variables examined. The combination of performance-causing (resources and capabilities) and performance-representing (financial performance) variables provides a better understanding of the non-listed SMEs in terms of family ownership. The results help academia to enrich the RBV-competitiveness, the non-listed SME management and finance literature, and policymakers to design business development and support schemes. They also show future entrepreneurs the impact of family ownership on entrepreneurial success.