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The purpose of this paper is to explore user-centered design possibilities at the intersection of gamification and persuasive technology to foster energy saving behavior.

We performed a large-scale empirical study of 480 participants and analyzed how different HEXAD gamification user types perceive selected persuasive strategies embedded in an energy saving prototype. Furthermore, we investigated the role of existing energy saving behaviors (pro-environmental behavior scale–e.g. regularly turning the lights off) and their effect on the perceived persuasiveness of the proposed persuasive strategies, which may has an impact on the overall design process. Furthermore, we applied partial least squares path modeling and conducted a one-way and repeated measure ANOVA.

Results show that user types play an important role in the design of persuasive systems for energy saving. For instance, people with a high tendency toward the Socializer user type were motivated by almost all of the employed persuasive strategies, whereas Philanthropists and Players only to a limited number of strategies. Furthermore, our study reveals that existing behaviors like the individual level of energy conservation influences the perceived persuasiveness of certain strategies and therefore should be considered in the design of such applications.

Using storyboards to obtain feedback about the perceived persuasiveness of employed strategies has limitations compared to the actual use of a functional prototype. However, to offset that limitation the mock-ups used in the storyboard reflected the actual designs for a real-world prototype.

This is the first study that explores how HEXAD gamification user types can be used to inform the design of persuasive applications for energy saving (RQ1). Furthermore, and in particular, this study draws on the challenges when using user types within gamified persuasive systems by highlighting the impact and the importance of considering existing energy saving behaviors (RQ2), which has not been addressed so far.

The current gap between the required and available artificial intelligence (AI) professionals poses significant challenges for organisations and academia. Organisations are challenged to identify and secure the appropriate AI competencies. Simultaneously, academia is challenged to design, offer and quickly scale academic programmes in line with industry needs and train new generations of AI professionals. Therefore, identifying and structuring AI competencies is necessary to effectively overcome the AI competence shortage.

A probabilistic topic model was applied to explore the AI competence categories empirically. The authors analysed 1159 AI-related online job ads published on LinkedIn.

The authors identified five predominant competence categories: (1) Data Science, (2) AI Software Development, (3) AI Product Development and Management, (4) AI Client Servicing, and (5) AI Research. These five competence categories were summarised under the developed AI competence framework.

The AI competence framework contributes to clarifying and structuring the diverse AI landscape. These findings have the potential to aid various stakeholders involved in the process of training, recruiting and selecting AI professionals. They may guide organisations in constructing a complementary portfolio of AI competencies by helping users match the right competence requirements with an organisation's needs and business objectives. Similarly, they can support academia in designing academic programmes aligned with industry needs. Furthermore, while focusing on AI, this study contributes to the research stream of information technology (IT) competencies.

As one of the most energy-intensive sectors, the manufacturing industry is strongly affected by current economic, ecological and political issues and is increasingly looking to reduce its energy consumption through effective management. One important component of energy management is monitoring, which can be improved by using the Internet of Things (IoT). This study aims to identify the factors behind the adoption of IoT energy monitoring systems in manufacturing industries and IoT’s impact on consumption in this context. Moreover, this study explores what constitutes successful implementation and develops recommendations on how companies can best use the generated energy-saving potential.

For this purpose, an exploratory, inductive research approach is taken in which five semi-structured interviews with IoT energy-monitoring platform providers located in Germany are conducted and additional documents about these platforms are analysed.

Based on these interviews and documents, this study defines the relevant factors involved in the increased adoption of IoT energy monitoring systems as desired cost reduction, regulatory requirements and customer expectations. Once implemented, a company’s energy efficiency potential strongly depends on its individual situation; however, the transparency characteristic of IoT supports managers in deriving effective energy-saving measures. Additionally, the used efficiency potential is influenced by the level of data collection and organisational capabilities.

To the best of the authors’ knowledge, as the first study, this research combines findings from the energy management and IoT research streams and places them into an organisational context. The application of the fit-viability model as an overarching framework enhances the theoretical contributions of this study. Moreover, focusing on Germany and its substantial industrial sector enables the gathering of important insights and the analysis of the specific use case of industrial IoT, which yields new findings for practitioners as well.

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.

By studying the drivers of social collaboration the purpose of this paper is to describe how, and for what job-related purposes, social software is employed in the digital workplace. Focussing on consultants, who are considered to be part of a knowledge-intensive and innovative industry, factors that may influence the adoption of professional social software are explored. In addition, insights about socio-demographic differences as well as distinct consulting segments and use categories are provided.

The Unified Theory of Acceptance and Use of Technologies (UTAUT) is the theoretical backbone of this research. The UTAUT model is expanded to fit the research goals, and the results from a quantitative study (n=341) are used to test the model.

The results suggest that the adoption of social software is associated with the expectation that one’s work performance will improve. There are significant differences regarding age and gender in the use of social software for job-related purposes.

Using the results of the study, social software suites can be tailored to users’ needs and preferences, which, in turn, may lead to higher levels of acceptance and intensity of use.

Social software is already widely adopted for private purposes, and it is being used more and more within the digital workplace, too. However, little research has been conducted into how, and for what job-related purposes, social software is employed, or into the potential drivers for its adoption. The stakeholders in the research include scholars and practitioners alike.

The purpose of this paper is to investigate the development of software pricing, following the advent of cloud-based business intelligence & analytics (BI & A) Software. A value-based conceptual software model is developed to ignite and structure further research.

A two-step research approach is applied. In step one, the available literature is screened and evaluated, and this is followed by ten semi-structured expert interviews. With that input, a conceptual software pricing model is designed. In step two, this model is validated and refined through discussions with representatives of the five leading business intelligence suites.

The paper sheds light on the value perception of customers and suggests a clear focus on the interaction between customers and vendors, and less on technical issues. The developed customer-centric, value-based pricing framework helps to improve pricing techniques and strategies.

The research is focused on the pricing strategy of software houses and excludes differentiations of technical specifications and functionalities.

The research can support practitioners in the field of BI & A in rethinking their pricing methods. Placing the customer at center stage can lead to lower customer churn rates, higher customer satisfaction and more pricing flexibility.

This empirical study reveals the importance of a customer-centric pricing approach in the specific case of BI & A. It can also be applied to other fast-developing sectors of the software industry.

The purpose of the study is to focus on the enhancement of knowledge management (KM) performance and the relationship between organizational culture and KM process intention of individuals because of the diversity of organizational cultures (which include results-oriented, tightly controlled, job-oriented, closed system and professional-oriented cultures). Knowledge is a primary resource in organizations. If firms are able to effectively manage their knowledge resources, then a wide range of benefits can be reaped such as improved corporate efficiency, effectiveness, innovation and customer service.

The survey methodology, which has the ability to enhance generalization of results (Dooley, 2001), was used to collect the data utilized in the testing of the research hypotheses.

Results- and job-oriented cultures have positive effects on employee intention in the KM process (creation, storage, transfer and application), whereas a tightly controlled culture has negative effects.

However, it would have been better to use a longitudinal study to collect useful long-term data to understand how the KM process would be influenced when organizational culture dimensions are changed through/by management. This is the first limitation of this study. According to Mason and Pauleen (2003), KM culture is a powerful predictor of individual knowledge-sharing behavior, which is not included in this study. Thus, this is the second limitation of this paper. Moreover, national culture could be an important issue in the KM process (Jacks et al., 2012), which is the third limitation of this paper for not comprising it.

In researchers’ point of view, results- and job-oriented cultures have positive effects, whereas a tightly controlled culture has a negative effect on the KM process intention of the individual. These findings provide evidences that challenge the perspective of Kayworth and Leidner (2003) on this issue. As for practitioners, management has a direction to modify their organizational culture to improve the performance of KM process.

Both behavioral and value perspectives of the organizational cultural dimensions (results-oriented, tightly control, job-oriented, sociability, solidarity, need for achievement and democracy) should be examined to ascertain their effects firstly on KM culture and then on the KM process intention of the individual. It is hoped that the current study will spawn future investigations that lead to the development of an integrated model which includes organizational culture, KM culture and the KM process intention of the individual.

The results-oriented, loosely controlled and job-oriented cultures will improve the effectiveness of the KM process and will also increase employees’ satisfaction and willingness to stay with the organization.

To develop the notion of centrality in e‐government (EG) research, and to base the identification of central research areas on that principle. To pave the path towards a more integrated understanding of EG and its phenomena.

The paper analyzes which disciplines contribute to EG. It scrutinizes the scope and orientation of disciplines involved and invested EG. Key high‐level variables in EG are derived from the literature. It is analyzed to what extent major EG phenomena are impacted by those variables and their interaction, which leads to the development of the principle of centrality. Central research areas of EG are identified based on the centrality principle. The integrative interdisciplinary research approach in EG is linked to trends in global science.

The paper finds the areas of transformation, integration, participation, and (information) preservation to be central to EG. It also identifies strong drivers in central EG research towards an integrative interdisciplinary approach.

A systematic review of the extant EG literature is still missing but could be guided by the centrality principle.

When addressing the central areas, EG might manage to develop into an integrative science. In that case, its research results would likely be highly relevant to government practice and academia alike.

The paper develops and defines the principle of centrality in EG research. It identifies central research areas in EG and distinguishes those from non‐central research areas in EG. In so doing, the paper provides guidance and focus, particularly, for integrative EG research.

The purpose of this paper is to investigate pertinent knowledge protection literature. At the same time, however, knowledge protection is often a neglected or underdeveloped area. This is all the more concerning as knowledge protection plays an essential part in preserving an organization’s competitive advantage. Despite the recognition of this issue by scholars, the knowledge management literature has so far tended to concentrate on the facilitation of knowledge sharing rather than on knowledge protection.

In this paper, the authors present the results of a structured literature review undertaken to investigate the current state of research on knowledge protection. The paper identifies core domains in knowledge protection literature, discusses theoretical perspectives and research methods, sheds light on the role of the information technology (IT) artefact in knowledge protection research and develops a portfolio of knowledge protection measures.

In this paper, 48 papers were analyzed by taking five analytical dimensions into account: research domains, research methods and models, the role of the IT artefact, theoretical views and measures to enforce knowledge protection. Based on the discussion of the results, promising avenues for further research were identified and a research agenda was proposed. The authors argued for more research on the protection of tacit knowledge, more in-depth empirical investigations, more research on IT support and a stronger consideration of theories in knowledge protection research, as well as research on how organizations could build a strategy of knowledge protection.

Tacit knowledge, as well as informal alliances or (social) networks, is under-researched so far. Knowledge protection phenomena need to be investigated in depth to test the assumptions stated in many conceptual papers. IT artefacts should be developed and evaluated. More theory-based research and overarching frameworks or strategies for knowledge protection need to be developed.

In this paper, a portfolio of knowledge protection measures was developed, which might be of particular interest for practitioners. Further, the paper provides a good overview of the current state of practice regarding knowledge protection.

So far, there is no structured literature available focussing on the topic of knowledge protection.