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The purpose of this paper is to investigate the relationship between complexity leadership and contextual ambidexterity as well as the mediating effect of organisational innovation climate in this link. This study is an answer to a call on which leadership approach and mediating factors can meet today’s seemingly contradictory challenges of efficiently managing business demands, while simultaneously searching for new opportunities.

The researchers analysed 1,204 usable survey responses from employees of South African organisations. Analysis was in the form of structural equation modelling. Mediation analysis was carried out on estimates of the indirect effect.

Results show that complexity leadership was a strong predictor of innovation climate; in turn, innovation climate positively impacts exploratory innovation by 64 per cent; complexity leadership and innovation climate positively affect exploitation by 57 per cent. The innovation climate plays a total mediator role between complexity leadership and exploratory innovation and a partial effect on exploitation.

This study gives human resource management (HRM) insight into strategically directing leadership recruitment and development towards creating an organisational climate to enhance ambidexterity. HRM must conduct regular climate surveys to ascertain whether current leadership is creating an environment that enables exploratory and exploitative innovation.

The authors’ contribution includes a theoretical contribution to the emerging field of complexity leadership by offering conceptual as well as empirical evidence of its role in ambidexterity. This study extends previous research in highlighting organisational climate’s mediating role of being open to new ideas to enable exploratory innovation.

The purpose of this paper is to investigate the links between the enterprise social networks (ESN) use and the exploitative and exploratory innovations and deepen the analysis by examining the mediating role of the sub-dimensions of intellectual capital (IC) in these relationships.

The authors use a quantitative method based on the questionnaire administrated to a sample of 248 middle managers working in Tunisian ICT firms. Regarding the data analysis, the authors use a partial least square-structural equation modeling (PLS-SEM) method.

Results highlight that whereas exploratory innovation is positively linked to human capital (HC) and social capital (SC), exploitative innovation is positively associated with HC. Findings show that the ESN use is linked positively to exploitative innovation and this link is mediated by HC. The data analysis also revealed that HC and SC mediate the link between ESN use and exploratory innovation.

Although limited studies have investigated the effect of the ESN use on firms, this research pioneers the examination of the effect of the ESN use on exploitative and exploratory innovations within ICT firms and the mediating roles of HC, SC and organizational capital that have never been explored. Findings are highlighted along with interesting insights for managers and outline the key aspects related to the ESN use that may improve the sub-dimensions of IC and boost exploitative and exploratory innovations.

Existing research on innovation has mainly focused on how to promote technological innovation in megaprojects and management innovation (MI) in megaprojects is still an unknown research field. The purposes of this study are to examine the effect of MI on megaproject performance and how the top management team (TMT) regulatory focus affects the use of MI in projects. At the same time, the moderating effects of project uncertainties are also tested.

On the basis of an explorative/exploitative ambidextrous analysis framework, this study divides MI into two dimensions: explorative and exploitative MI, and integrates the theoretical perspectives of the TMT regulatory focus and project uncertainties into a research model. Taking 314 responses from megaprojects’ TMTs in China as research data, this study empirically tests the above model.

Results show that exploratory MI has a U-shaped relationship with megaproject performance; whereas exploitative MI has an inverted U-shaped relationship with megaproject performance. The TMT promotion focus has a positive effect on exploratory and exploitative MI; and the TMT prevention focus has a negative effect on exploratory MI but has a positive effect on exploitative MI. Project uncertainties have a positive moderating effect on the positive relationship between TMT promotion focus and exploratory MI, whereas it has a negative moderating effect on the negative relationship between the TMT prevention focus and exploratory MI.

By empirically measuring the relationship between two types of MIs and megaproject performance, this study clarifies the differential mechanism of the effect of different MIs on megaproject performance. This study also examines the MI of megaprojects from the perspective of the TMT regulatory focus and expounds how changes in uncertainties affect the relationship between the TMT regulatory focus and MI.

Constructing and evaluating behavioral science models is a complex process. Decisions must be made about which variables to include, which variables are related to each other, the functional forms of the relationships, and so on. The last 10 years have seen a substantial extension of the range of statistical tools available for use in the construction process. The progress in tool development has been accompanied by the publication of handbooks that introduce the methods in general terms (Arminger et al., 1995; Tinsley & Brown, 2000a). Each chapter in these handbooks cites a wide range of books and articles on specific analysis topics.

This study aims to find evidence of a possible relationship between three constructs that are generally investigated separately: entrepreneurial orientation, understood as entrepreneurship on the organizational level; marketing capability, seen as a highly competitive factor for the organization; and business performance, highlighted as a focus of the entire organization.

A survey-based quantitative approach was adopted with a cross-sectional temporal perspective. To arrive at results that can be compared, the study uses factor analysis and structural equations modeling techniques, with estimations of maximum likelihood for testing the quality of fit of the measures to the structural models, using SPSS 21 and AMOS 16 software. Data were collected at the 27th EXPOSUPER, which is a trade fair at which 35,000 visitors were present. The data collection instrument used is a questionnaire previously validated by Reis Neto et al. (2013a). The first section covers control variables chosen to profile the firms, the second contains entrepreneurial orientation variables, the third comprises marketing capability variables and the fourth section contains business performance variables, all using seven-point Likert response scales.

Tests of the entrepreneurial orientation measurement scale produced interesting results in this application within the retail supermarket industry. The results of exploratory factor analysis indicated that a scale with three dimensions was significant. The relationship between entrepreneurial orientation and marketing capability (H1) is positive, through the intermediate dimensions of innovation, proactiveness and risk-taking, used by firms’ management, contributing to their efforts to research and manage the market, to develop products and services and to offer better prices. Exploratory factor analysis and confirmatory factor analysis showed that four of the scale’s dimensions of the marketing capability were significant: market research, market management, new product development and pricing. Comparison of these results with those of Reis Neto et al. (2013a) reveals a difference, as although their result, achieved using structural equations modeling, also had four factors; the promotion dimension was the most significant and absorbed the other variables. Despite these differences, confirmatory factor analysis and structural equations modeling demonstrated that this construct met the minimum conditions for adequacy, where (H2), formulated to test the relationship between the marketing capability construct, was confirmed. The final construct analyzed in this study was business performance, initially suggested by González-Benito et al. (2009), and also used by Reis Neto et al. (2013a). They used the dimensions profitability, market value and market response, and in the present study, after exploratory factor analysis, confirmatory factor analysis and structural equations modeling, the results were identical to those authors results, in that (H3), formulated with the objective of testing the relationship between the entrepreneurial orientation construct and business performance, was confirmed, and although this was not the most robust of the relationships postulated in the three hypotheses, but was of lower significance.

Although this study has achieved its objective, one of the study’s limitations relates to the data collection instrument, which was subject to failures in terms of the number of variables to be analyzed in each dimension. This led to elimination of certain dimensions during the analyses. Another limitation is related to the method used in the study. When questionnaires are used as data collection instruments, respondents often may not understand the true meaning of questions, which could lead them to choose any option, thereby stripping the results of credibility. In view of this limitation, it is suggested that future researchers conduct qualitative studies, using the case study method, which could offer greater clarity and increase understanding of the results related to these subjects. Even considering that this study has certain limitations and restrictions affecting generalization, it is hoped that it raises new questions, interests and inspirations, improving and complementing understanding of this strong social and economic sector.

It is identify the relationship between entrepreneurial orientation and marketing capability, since to date there is no evidence from studies confirming the existence of such a relationship. This statement was based on the results of a bibliographic survey conducted using the ProKnow-C, knowledge development process-constructivist methodology, in which, this originality was positive and significant, offering new studies from this point of view.

The purpose of the paper is to suggest effective choices for key decisions when pursuing a programmatic research strategy in management, spirituality and religion (MSR). An example is provided of how the suggestions can be used.

Suggestions for research were gleaned from current sources in research methodology. The example provided was a study of 398 employees who were surveyed on spirituality, job satisfaction and intent to leave their job. Structural equation modeling (SEM) was used to test three research hypotheses.

Using item analysis, exploratory factor analysis and SEM can be a way to pursue research using variables related to spirituality and religion.

A programmatic research strategy employing SEM can effectively model how spirituality/religious variables directly and indirectly affect outcomes significant to the organization.

The purpose of this paper is to propose the method of measurement of competencies using exploratory factor analysis and the evaluation of the relation between competencies and economic activity of mature people.

The empirical analysis is based on the Study of Human Capital data (conducted in Poland). The study population people are aged 50+. In statistical analysis explanatory factor analysis and logistic regression were used.

Competencies are the crucial factor of professional position and career development. However, older people have often out-dated skills and it results in a higher propensity for economic deactivation. On the other hand, older people are valuable on the labour market due to their experience, knowledge and social skills. The survey results indicate that competencies, measured with using of factor analysis, similarly as health, marital status, place of residence and age are significant determinants of early employment deactivation.

Limitation in the evaluation of the risk of economic deactivation factors is the static approach of this analysis. The Study of Human Capital data are the best source of information about competencies of Poles, but its character is not longitudinal.

The analysis of mature people’s competencies is very important in the context of extending working life, but the scientific researches in this area are rare. This paper would reduce the knowledge gap on the topic of reasons for older workers’ deactivation in which competencies are included. Application of exploratory factor analysis in this area is unique.

The purpose of this research is to develop and test a sense of consumption community measurement scale. The concept is examined in an exploratory study in the context of the perceptions of customers of financial services firms.

This research consults the marketing, banking, psychology, and public policy literature. A sense of consumption community scale is tested for validity via exploratory and confirmatory factor analysis. Scale reliability analysis is also conducted.

The result is a second‐order construct composed of the first‐order constructs, camaraderie and communality, and social capital. The construct is found to be a means of measuring the strength of consumers' perceptions of consumption community. Additional evidence of its practical value is demonstrated in four findings. First, partial support is found that men perceive a greater sense of community than women. Second, there is a positive relationship between age and perceived sense of community. Third, no significant relationship was found between the various types of financial institutions and customers' sense of consumption community. Fourth, an identical finding was obtained for the relationship between sense of community and longevity. And fifth, this research also documents limitations of the Sense of Consumption Community Construct due to the exploratory nature of this research effort.

The scale formulated in this research is the first to measure a sense of community among the customers of financial institutions.

The impact of cyberattacks all over the world has been increasing at a constant rate every year. Performing exploratory analysis helps organizations to identify, manage and safeguard the information that could be vulnerable to cyber-attacks. It encourages to the creation of a plan for security controls that can help to protect data and keep constant tabs on threats and monitor their organization’s networks for any breaches.

The purpose of this experimental study is to state the use of data science in analyzing data and to provide a more detailed view of the most common cybersecurity attacks, what are the most accessed logical ports, visible patterns, as well as the trends and occurrence of attacks. The data to be processed has been obtained by aggregating data provided by a company’s technology department, which includes network flow data produced by nine different types of attacks within every day user activities. This could be insightful for many companies to measure the damage caused by these breaches but also gives a foundation for future comparisons and serves as a basis for proactive measures within industry and organizations.

The most common cybersecurity attacks, most accessed logical ports and their visible patterns were found in the acquired data set. The strategies, which attackers have used with respect to time, type of attacks, specific ports, IP addresses and their relationships have been determined. The statistical hypothesis was also performed to check whether attackers were confined to perform random attacks or to any specific machines with some pattern.

Policies can be suggested such that if an attack is conducted on a specific machine, which can be prevented by identifying the machine, ports and duration of the attacks on which the attacker is targeting and to formulate such policies that the organization should follow to tackle these targeted attacks in the future.