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This paper investigates the potential of computerized adaptive testing for CMs to reduce test time. In the context of education and training, competency measurement (CM) is a central challenge in competency management. For complex CMs, a compromise must be addressed between the time available and the quality of the measurements. Increasing the efficiency of existing tests therefore poses a key challenge.

Results from a market analysis show a lack of integrated adaptive testing tools for CMs. The implementation, integration and evaluation of an appropriate adaptive component are presented for the example of the learning management system ILIAS used for a CM of health workers. The textbook scenario of a linear testing implementation is compared with results from the adaptive testing tool implementation. A simulation component is created to investigate the robustness of the adaptive test regarding answers that are inconsistent with the test person’s ability.

A test time reduction of 40 per cent is achieved by the adaptive test. The test shows high stability for up to 20 per cent of the answers being inconsistent with the test person’s ability.

Results indicate the high potential of computerized adaptive testing for CMs. The developed tool could be used for the implementation of combined multimedia computerized adaptive tests. Time savings could be utilized to improve measurement quality. Large-scale empirical studies on the interaction between competency dimensions could be facilitated. No other tool could be identified possessing these capabilities.

From 3‐5 February 2004, the Bielefeld University Library in Germany was host to the 7th International Bielefeld Conference, “Thinking beyond digital libraries – designing the information strategy for the next decade”. Main themes to the conference were the strategic positioning and future direction of research libraries and their institutions that will lead to e‐scholarship. The agenda included: new challenges and services of academic libraries: scholarly publishing and the implication on future strategies for scholars, libraries and publishers; the potential of search engine technology for digital libraries; and next generation scholarly information portals. In the excellent talks from experts from all around the world, stimulus was provided to integrate the theories and information presented and discussed into everyday practices and routine business.

Loan default risk or credit risk evaluation is important to financial institutions which provide loans to businesses and individuals. Loans carry the risk of being defaulted. To understand the risk levels of credit users (corporations and individuals), credit providers (bankers) normally collect vast amounts of information on borrowers. Statistical predictive analytic techniques can be used to analyse or to determine the risk levels involved in loans. This paper aims to address the question of default prediction of short-term loans for a Tunisian commercial bank.

The authors have used a database of 924 files of credits granted to industrial Tunisian companies by a commercial bank in the years 2003, 2004, 2005 and 2006. The naive Bayesian classifier algorithm was used, and the results show that the good classification rate is of the order of 63.85 per cent. The default probability is explained by the variables measuring working capital, leverage, solvency, profitability and cash flow indicators.

The results of the validation test show that the good classification rate is of the order of 58.66 per cent; nevertheless, the error types I and II remain relatively high at 42.42 and 40.47 per cent, respectively. A receiver operating characteristic curve is plotted to evaluate the performance of the model. The result shows that the area under the curve criterion is of the order of 69 per cent.

The paper highlights the fact that the Tunisian central bank obliged all commercial banks to conduct a survey study to collect qualitative data for better credit notation of the borrowers.

El riesgo de incumplimiento de préstamos o la evaluación del riesgo de crédito es importante para las instituciones financieras que otorgan préstamos a empresas e individuos. Existe el riesgo de que el pago de préstamos no se cumpla. Para entender los niveles de riesgo de los usuarios de crédito (corporaciones e individuos), los proveedores de crédito (banqueros) normalmente recogen gran cantidad de información sobre los prestatarios. Las técnicas analíticas predictivas estadísticas pueden utilizarse para analizar o determinar los niveles de riesgo involucrados en los préstamos. En este artículo abordamos la cuestión de la predicción por defecto de los préstamos a corto plazo para un banco comercial tunecino.

Utilizamos una base de datos de 924 archivos de créditos concedidos a empresas industriales tunecinas por un banco comercial en 2003, 2004, 2005 y 2006. El algoritmo bayesiano de clasificadores se llevó a cabo y los resultados muestran que la tasa de clasificación buena es del orden del 63.85%. La probabilidad de incumplimiento se explica por las variables que miden el capital de trabajo, el apalancamiento, la solvencia, la rentabilidad y los indicadores de flujo de efectivo.

Los resultados de la prueba de validación muestran que la buena tasa de clasificación es del orden de 58.66% ; sin embargo, los errores tipo I y II permanecen relativamente altos, siendo de 42.42% y 40.47%, respectivamente. Se traza una curva ROC para evaluar el rendimiento del modelo. El resultado muestra que el criterio de área bajo curva (AUC, por sus siglas en inglés) es del orden del 69%.

El documento destaca el hecho de que el Banco Central tunecino obligó a todas las entidades del sector llevar a cabo un estudio de encuesta para recopilar datos cualitativos para un mejor registro de crédito de los prestatarios.

Curva ROC, Evaluación de riesgos, Riesgo de incumplimiento, Sector bancario, Algoritmo clasificador bayesiano.

Artículo de investigación

This paper examines the effects of virtual advertising in a sports broadcast setting. We analyse the conspicuousness of virtual advertising and match the results with explanatory variables like brand awareness, duration of exposure and frequency of exposure. Furthermore, we measure the role of attitudes towards advertising in general and its impact on attitudes towards virtual advertising of the respondents. Our results indicate that most respondents recognise virtual advertising as such. Advertising effectiveness is driven to a large degree by the frequency of exposure. A positive attitude towards advertising in general leads to a positive attitude towards virtual advertising of the participants.

Considering working in the digital age, questions on the consequences for the individual workers are, so far, often neglected. The purpose of this paper is to deal with the question of whether the digital competences of the workforce is a research topic. The authors argue for the thesis that it is indeed a research topic.

In addition to a literature analysis of the top IS, HR, and learning publications, non-scientific sources, as well as the opinions of the authors, are included. The authors’ thesis is challenged through a debate of corresponding pros and cons.

The definition of digital competences lacks scientific depth. Focussing on the workforce is valid, as a “lifelong” perspective is not mandatory for research. Digital competence research is a multidisciplinary task to which the IS field can make a valuable contribution.

Although relevant references are included, some aspects are mainly driven by the opinions of the authors. The theoretical implications encompass a call for a scientific definition of digital competences. Furthermore, scholars should focus on the competences of the workforce, including occupations, roles, or industries. The authors conclude by providing a first proposal of a research agenda.

The practical implications include the alignment of multiple stakeholders for the design of “digital” curricula and the integration by HR departments of the construct of digital competences, e.g. for compensation matters and job requirements.

This paper is one of very few contributions in the area of the digital competences of the workforce, and it presents a starting point for future research activities.

The purpose of this paper is to analyze how far technology and information enable, facilitate or support the planning and implementation decisions in humanitarian vaccine cold chains for vaccination campaigns. The authors specifically focus on three emerging technologies that have the potential to create more flexible conditions in the field, and identify the need to further explore the link between uncertainty, information and irreversibility.

The authors present a basic structure for the analysis of cold chain disruptions in terms of three distinct yet connected layers of deficient infrastructure and capacity, information gaps and failures in decision making. The authors then review three humanitarian technologies and their impact on vaccine campaigns along these layers. From there, a research agenda is developed to address research gaps this review brought forward.

Three critical research gaps in the areas of technology innovation for humanitarian vaccine cold chain management are presented. The authors argue that technology to improve capacity, information and decisions need to be aligned, and that the areas of uncertainty, information and irreversibility require further investigation to achieve this alignment. In this way, the paper contributes to setting the research agenda on vaccine cold chains and connects humanitarian logistics to technology, information management and decision making.

This paper presents the humanitarian vaccine cold chain problem from an original angle by illuminating the implications of technology and information on the decisions made during the planning and implementation phases of a vaccine campaign. The authors develop an agenda to provide researchers and humanitarians with a perspective to improve cold chain planning and implementation at the intersection of technology, information and decisions.

Supply chains must rebuild for resilience to respond to challenges posed by systemwide disruptions. Unlike past disruptions that were narrow in impact and short-term in duration, the Covid pandemic presented a systemic disruption and revealed shortcomings in responses. This study outlines an approach to rebuilding supply chains for resilience, integrating innovation in areas critical to supply chain management.

The study is based on extensive debates among the authors and their peers. The authors focus on three areas deemed fundamental to supply chain resilience: (1) forecasting, the starting point of supply chain planning, (2) the practices of supply chain risk management and (3) product design, the starting point of supply chain design. The authors’ debated and pooled their viewpoints to outline key changes to these areas in response to systemwide disruptions, supported by a narrative literature review of the evolving research, to identify research opportunities.

All three areas have evolved in response to the changed perspective on supply chain risk instigated by the pandemic and resulting in systemwide disruptions. Forecasting, or prediction generally, is evolving from statistical and time-series methods to human-augmented forecasting supplemented with visual analytics. Risk management has transitioned from enterprise to supply chain risk management to tackling systemic risk. Finally, product design principles have evolved from design-for-manufacturability to design-for-adaptability. All three approaches must work together.

The authors outline the evolution in research directions for forecasting, risk management and product design and present innovative research opportunities for building supply chain resilience against systemwide disruptions.

The aim of this paper is to give theoretical and empirical arguments for new forms of communication and structure of organizations within the media and information society. Organizations must legitimate their “licence to operate” through social discourses and stakeholder communication. Possibilities to institutionalize ethics within organizations and possible barriers to such a programme are analysed.

First, some theoretical arguments as to why mediatisation challenges organizations to prove ethical commitment are depicted, using a rights‐based and social contract approach. Second, empirical examples for structural and communicational barriers in Austrian companies show possible practical constraints.

Theoretical findings refer to the usefulness of applying business ethical models (especially rights‐based, and social contract models) to reorganize mediatised organizations. Empirical findings concern the lack of institutionalized ethics management in companies and the corresponding problem of “PR‐style” communication instead of stakeholder discourses.

The research reported in one section of the paper relies on the qualitative survey of 14 experts in different branches of the Austrian economy. While interviews can give a picture on how respondents understand the relevant research question and construct the respective reality, they are far from providing a representative picture of communicative ethical problems in mediatised organizations.

Practical consequences should be possible, if companies understand the mediatised and communicative nature of their relationship with society and stakeholders and therefore react to that challenge by building up reputation through ethics management.

The paper gives new insights to the important relationship between organizations and the public and shows how, e.g. enterprises can legitimate their business models and secure their long‐term existence. New empirical research concerns cases from Austrian companies.

The purpose of this paper is to build on previous studies on the link between objective and subjective person-organization fit (P-O fit) and argue that the strength between objective and subjective fit is contingent on advertisement attractiveness and organizational image. Accordingly, the authors observe if advertisement attractiveness and organizational image help to strengthen the objective-subjective P-O fit relation.

The authors conduct a survey among 942 individuals and compare between prospective jobseeker (n=629) and actual jobseeker (n=313) subsamples.

Generally, the authors show that ad advertisements positively moderates the relation between objective and subjective fit. Moreover, the authors show that advertisement attractiveness moderates the relationship between objective and subjective fit for prospective jobseekers while the moderating influence of advertisement attractiveness is not significant for actual jobseekers. Organizational image, however, is shown to act as a negative moderator, particularly for the actual jobseeker sample.

The authors aim to contribute to prior research by emphasizing how the link between objective and subjective P-O fit can be elevated by cues such as advertisement attractiveness and might be disturbed by a very good organizational image.

This study informs practitioners how two important recruitment signals, job advertisement and organizational image, influence the transmission of objective into subjective fit and thus help firms to improve their recruitment efforts.

Even though many studies support the effects of P-O fit on organizational attractiveness or application intentions, only little is known in terms of how the relationship between the two dimensions of P-O fit – objective and subjective fit – can be positively influenced. Hence, there is a lack of understanding of how firms can focus their recruitment efforts effectively on highly fitting individuals.