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This study aims to examine the entrepreneurial intentions of university students at the International University of Sarajevo. For this purpose, the entrepreneurial desires and entrepreneurial orientations of the students across several demographic variables were measured. These variables included prior entrepreneurial experience, student’s gender, faculty, year of study and attitude towards more courses on entrepreneurship. Nevertheless, the research also examined how business environment influences the entrepreneurial intentions of students by considering the same set of variables.

The objectives of this paper have been achieved by using a quantitative research instrument, where the cross-sectional survey method for collecting primary data is used. In total, 173 usable responses have been collected from the beginning of April to the end of May in the academic year 2015/2016.

The results indicate that the greater the demotivation with the current business surrounding, the smaller the entrepreneurial intentions of the students are when the prior entrepreneurial experience, gender, year of study and attitude towards more courses on entrepreneurship are considered. The study suggests that improving the overall business surrounding and entrepreneurial education might increase the entrepreneurial intentions of the students.

This is the first paper that treats entrepreneurial intentions of University students in Bosnia and Herzegovina.

This paper aims to explore the impacts of artificial intelligence (AI) on jobs.

The authors followed rapid review guidelines. The authors collected industry and government reports published prior and up to August 2017 in Google and Google Scholar using combination of key words: “job automation” or “work automation” with technology keywords: “artificial intelligence,” “machine learning,” etc. In total, 11 were included in this research.

The use of AI technologies will impact jobs in the near future as some job tasks are automated. AI is likely to substitute both, routine and nonroutine tasks. It is expected that humans and robots would work together in ways never imaginable. Changes in employability skills are expected. Because of the magnitude of these impacts on jobs, consulted reports call for concerted solutions that go beyond organizations’ and industry’s boundaries to include other relevant stakeholders. Moreover, organizations will have to rethink their human resource (HR) function to realign its expertise to the reality of AI.

In this context, the HR function will have to understand the dynamics that generate the impacts of these technologies in a workplace, to anticipate changes and actively contribute to creating an organizational environment that will facilitate the collaboration between human workers and complex digital agents, while ensuring compliance with labor and employment laws and supporting strategic organizational objectives.

This paper contributes to the debate on ongoing concerns by providing a synthesis of relevant professional literature.

The purpose of this paper is to explore the role of four cognitive biases, namely, selective perception, exposure to limited alternatives, adjustment and anchoring, and illusion of control in anticipating and responding to Distributed-Denial-of-Service (DDoS) attacks.

The paper is based on exploratory case study research and secondary data on decision making in the Australian Bureau of Statistics (ABS) in regards to planning and managing DDoS attacks on Census day in 2016.

Cognitive biases limited the ABS’s awareness of the eCensus system’s vulnerabilities, preparation for and management of DDoS attacks. Cyberattacks are on the increase, and managers should expect and be prepared to deal with them.

Due to the sensitivity of the topic, it was not possible to interview relevant stakeholders. Analysis is based on high-quality secondary data that includes comprehensive government reports investigating the events on Census day.

Cyberattacks are inevitable and not an aberration. A checklist of actions is identified to help organisations avoid the failures revealed in the case study. Managers need to increase their awareness of cyberattacks, develop clear processes for dealing with them and increase the robustness of their decision-making processes relating to cybersecurity.

This the authors believe that it is the first major study of the DDoS attacks on the Australian census. DDoS is a security reality of the twenty-first century and this case study illustrates the significance of cognitive biases and their impact on developing effective decisions and conducting regular risk assessments in managing cyberattacks.

The purpose of this study is to investigate decision‐making styles of young consumers in Bosnia and Herzegovina. It aims to test the applicability of Sproles and Kendall's Consumer Style Inventory (CSI). The paper also aims to segment young consumers based on their decision‐making styles (CDMS), profile consumer segments, and explore differences in gender and household income among segments.

Data were collected by means of a self‐administered survey. The sample consists of 600 young consumers from 18‐24 years of age, students from two large universities in Bosnia and Herzegovina. Data were analyzed using exploratory and confirmatory factor analysis, Cronbach's alpha coefficients; K‐means cluster analysis, Chi‐square test, and two‐proportion z‐test.

Factor analysis identified 20 items and six CDMS factor solution. The results further indicate that young consumers in Bosnia and Herzegovina might be classified in five segments according to their decision‐making styles. Young males were shown to be impartial, middle ground consumers, while females were more hedonistic‐oriented consumers. There were no significant differences in household income among segments.

The paper provides an empirical evidence of applicability of Sproles and Kendall's CSI instrument in the case of young consumers in developing transitional economy. The study shows that the CSI instrument might be used as a tool for segmenting and profiling young consumers in Bosnia and Herzegovina, and thus it enriches CDMS literature.

Little is known about actual organisational experiences and challenges with using e-HRM. The focus of this chapter is on the challenges that Australian HR professionals face in using e-HRM and achieving e-HRM outputs.

Data were collected through semi-structured interviews with five HR professionals in different Australian organisations. Content analysis was applied to analyse the transcribed interviews.

Potential of e-HRM to bring efficiency, access to HR data, reporting, as well as contributions to the overall business strategy are thwarted by three groups of e-HRM challenges that HR professionals experience: e-HRM technical issues, HR issues, and e-HRM development issues.

Findings are based on the five interviews with HR professionals in Australian organisations only. Line managers, employees, and managers from other business functions as well as small businesses have not been included in the research sample.

By addressing the e-HRM challenges, HR professionals can achieve e-HRM benefits and enhance their contribution to the overall business.

A major contribution is to show that the HRM literature barely considers the e-HRM challenges facing HR professionals. Another contribution is to provide an understanding of e-HRM challenges in the Australian context.

The purpose of this paper is to contribute to a growing body of research on the applicability of resource-based theory (RBT) to the information systems (IS) area. In particular, the paper provides an understanding of the IS value creation process, and strategies for managing it by demonstrating the application of cross-impact analysis.

RBT and systems theory are adopted as a theoretical framework in this study. Cross-impact analysis is used as a method for investigating interactions among elements of an IS value creation system. These elements were identified through 22 semi-structured interviews with organisational stakeholders, and assessed in terms of direction and strength of their interactions, and depicted in a coordinate system.

The result of the analysis is a meaningful classification of elements in an IS value creation system as: levers, indicators, identities, buffers or trends, based on their position in the system. The results provide additional clarity and insights into the relationships between IS and organisational resources and their effect on IS value.

The research findings have important implications for researchers and managers in terms of understanding the impact of interactions among IS and organisational resources on formulating successful strategies for managing the IS value creation system.

This study explores interactions among IS/information technology resources and organisational resources by using cross-impact analysis. It shows that interactions among the identified resources do have a major influence on the overall IS value creation system.

The purpose of this paper is to consider factors affecting the effective utilisation of information and communication technology (ICT) and the adoption of more sophisticated ICT solutions in small and medium‐sized enterprises (SMEs) in Lagos, Nigeria.

The study adopts a case study approach. Semi‐structured interviews in 25 SMEs were used as tools for data collection.

The paper identifies eight key factors that affect the effective utilisation and adoption of more sophisticated or advanced ICT solutions in Nigerian SMEs.

The data for this research are drawn from a particular region in Nigeria, therefore, the findings are not generalisable to SMEs in other regions. Also, the data are collected from various industry sectors hence, it is not possible to have sector‐specific conclusions.

Effective utilisation of sophisticated ICT solutions in SMEs has great impact on SMEs' competitiveness. Also, the study could assist owner‐managers, policy makers and stakeholders to better understand the major challenges faced by Nigerian SMEs and create various initiatives to assist these SMEs.

The study provides insight into the adoption of sophisticated ICT solutions within Nigerian SMEs that is of value to owner‐managers, policy makers and academic researchers. The study further suggests means to achieve a successful and sustainable technology adoption in SMEs.

This paper aims to investigate empirically the decision of small to medium‐sized enterprises (SMEs) to adopt the internet in their businesses.

Using a survey of 465 sampled SMEs from Klan valley area in Malaysia, this study tests seven hypotheses about the factors that influence internet adoption.

The findings show that manager's characteristics, perceived benefits, organisational culture, technological competency and cost of adoption have significant relationships with internet adoption. The results of the study of highly educated managers of SMEs also revealed a non‐significant relationship between language, growth of web and internet adoption.

The study provides more understanding of managers' perceptions about internet adoption in their businesses. Those interested in promoting the web may find these results helpful in guiding their efforts.