The Internet as Additional Secondary Source – First empirical Results for Differentiating the Impact of Secondary Sources on the Intention to use IT

The research about adoption decisions in a household context brought the factor of secondary sources as part of a normative beliefs construct to explain an individual’s behavioral intention. The secondary sources included mass media as TV, radio and newspapers but not the largest global information medium, the internet. With billions of information provided by the internet in every minute it seems to be very likely that this factor depicts an important determinant for an individual’s IT adoption decision as well. So for this reason the aim of our paper is to propose a research model to integrate the explicit influence of the mass medium internet on an individual’s IT adoption decision and to discuss the relationship and interplay between attitude towards an information system, intention to use an information system and the secondary source “Internet”. Furthermore a research description how the influence can be validated is provided and first empirical results are presented

WHY DO PEOPLE REJECT TECHNOLOGIES – A LITERATURE-BASED DISCUSSION OF THE PHENOMENA “RESISTANCE TO CHANGE” IN INFORMATION SYSTEMS AND MANAGERIAL PSYCHOLOGY RESEARCH

In 2008, Ford et al. (2008) pointed out for management research, that “it is time to expand our understanding of resistance to change”. Since 1947, when Kurt Lewin discuss the first time the concept of resistance to change within his field theory, managerial psychology researchers have extended, criticized, modified and re-conceptualized the understanding of employees‟ responses to change initiatives. Also information systems research has identified resistance to change as major reason for IT project failures. However, as our analysis in this paper shows, there are a lot of opportunities for IS research to research resistance to IT-induced change. Using a literature review the paper discusses different concepts of resistance to change from managerial psychology and IS research in order to provide a better understanding of resistance to IT-induced change. The paper highlights implications from managerial psychology research to update the understanding of resistance to change in information systems research

INFORMATION QUALITY DIMENSIONS: TWO EXPLORATORY CASE STUDIES WITH ENTERPRISE CONTENT MANAGEMENT SYSTEM USERS

Using two explorative case studies we theorize in this paper about information quality as one variable of the IS success model explaining user satisfaction. We derive four dimensions of information quality which have a diverse and unique impact on user satisfaction: information characteristics, information access and security, information format, and task-information fit. Moreover, we identify contextual factors such as the pace of information change and update, legal and compliance requirements, and employees’ skills which determine the importance of each dimensions for explaining user satisfaction. This more nuanced view of information quality as one component of the IS success model enables a better guidance of organizations in improving information quality to increase user satisfaction. There-fore, several organizational interventions are discussed that can be used to improve information quali-ty by focusing on each of the four unique information quality dimensions separately

Why do People Reject Technologies? – Towards a Unified Model of Resistance to IT-Induced Organizational Change

Based on Oreg (2006) this paper proposes a unified model of technology resistance including resistance as a behavior or behavioral intention (Kim and Kankanhalli 2009), a tri-dimensional construct of resistance to change (Piderit 2000) as an extension to Bhattacherjee and Hikmet (2007) and resistance as a personality trait (Oreg 2003) in order to enable a unified understand why people reject technologies. The evaluation of the model with a study of a new human resources information system shows that the resistance behavior of the researched 106 recruiters could be explained by their affective, behavioral and cognitive resistance to change as well as their individual personality trait resistance. Several implications for future research are discussed

Development and Test of a Semi-structured Explorative Survey Methodology to Analyze Appropriate Learning Methods for Technology-related Training across the Phases of Technology Use

Training is regarded as an indicator for organizations’ performance. To analyze appropriate learning methods for technology-related training across the phases of technology use we develop a semi-structured, explorative survey methodology. The methodology is tested with a sample of 53 healthcare professionals from China, France and the USA. Based on that, lessons learnt are concluded that confirm the usefulness of the methodology for research and practice. In addition, further improvements and enlargements of the methodology are illustrated in this paper as basis for further research

Adoption of Online Appointment Schedule Platforms – An Interview-based Case Study Series with Micro-Enterprises

Based on the Technology-Organization-Environment model we propose a model for explaining the adoption of online appointment schedule platforms by micro-enterprises in order to take the specific characteristics of this organizational type into consideration of technology adoption research. Using case study interviews from seven micro-enterprises we can show that the adoption decision is mainly influenced by the attitude of the entrepreneur, support and updates, scalability, test phase, training and compatibility. In addition, we identify a fourth context of marketing factors relevant for the adoption decision and not considered by the TOE-model so far. Moreover, we discuss whether rather individual- or organizational level adoption models are appropriate to explain the adoption decision of micro-enterprises

The app caused me to cancel - Understanding mobile health app dissatisfaction: An affordance perspective

The use of mobile health (mHealth) applications to easily track calorie intake and exercise behavior becomes more and more popular. However, research showed that mHealth apps could only be effective in supporting people in their weight loss if used regularly over a long period. Despite a significant amount of work examining the decision to continue to use mHealth apps, less is known about sources of negative user experiences that can act as barriers to long-term use. Drawing upon affordance theory, this study aims to fill this research gap by qualitatively analyzing app reviews from five popular weight loss apps. Our findings reveal nine causes of dissatisfaction that can have adverse effects regarding long-term mHealth app use for weight management. The results contribute to research and practice by shedding light on the barriers to the continued use of mHealth applications for weight management and how designers and developers can overcome these shortcomings

Why do People Reject Technologies? – Towards an Understanding of Resistance to IT-induced Organizational Change

Research on resistance to information technology is characterized by the fact that there is still no unified understanding about resistance to change of IT-induced organizational change projects (Vithessonthi 2007). In order to provide a deeper understanding why people reject technologies when introduced in organizations this paper develops a Model of Resistance to IT-induced Organizational Change based on micro-organizational change (Oreg 2006) and technology acceptance literature (Venkatesh and Bala 2008). The model posits that work, technology and process related outcomes of business process change are determined by a tri-dimensional resistance to change conceptualization (Piderit 2000; Oreg 2006) and evaluation of process and technology characteristics (Venkatesh 2006). Moreover these dimensions are determined by the context of the change and individual differences such as personality traits. First case study results show that the model is appropriate to gain a deeper understanding why people reject technologies

Why Context Matters: Explaining the Digital Transformation of the Manufacturing Industry and the Role of the Industry’s Characteristics in It

Background: The digital transformation is an increasingly popular research topic. Unfortunately, it lacks a common and sustainable theoretical fundament. Further, it is unclear which role the characteristics of the affected industries, firms and markets play regarding the impact that the digital transformation has on them. Method: Taking up these two challenges in a combined fashion for one of the economically most important, but also most specialized and physical global industries, we systematically review the latest literature on the digital transformation within the manufacturing context. Results: This work is the first one that provides a valid theoretical basis on the digital transformation of the manufacturing industry. Thereby, it becomes clear that this basis is severely depending on its context. In particular, we show that the manufacturing industry is special in several dimensions, mainly due to its high physicality. Many of the connected technological concepts and domains are solely applicable within that particular environment. Also, our results indicate that a notable share of manufacturing firms did not experience any or at least not big impacts by the digital transformation on the business model level but indeed heavy impacts on the process level until now. However, for our initial suspicion that the structural differences between the manufac-turing industry and other more hardware-independent industries are so far reaching as that they would even lead to definitional differences, no evidence was found. Conclusions: This study contributes to the ongoing line of activities trying to streamline the extensive research around the digital transformation and thereby especially emphasizes the importance of context in that area of research. Available at: https://aisel.aisnet.org/pajais/vol12/iss3/3

Fairness as a Determinant of AI Adoption in Recruiting: An Interview-based Study

Traditional recruiting techniques are often characterized by discrimination as human recruiters make biased decisions. To increase fairness in human resource management (HRM), organizations are increasingly adopting AI-based methods. Especially recruiting processes are restructured in order to find promising talents for vacant job positions. However, use of AI in recruiting is a two-edged sword as the neutrality of AI-based decisions highly depends on the quality of the underlying data. In this research-in-progress, we develop a research model explaining AI adoption in recruiting by defining and considering fairness as a determinant. Based on 21 semi-structured interviews we identified dimensions of perceived fairness (diversity, ethics, discrimination and bias, explainable AI) thereby affecting AI adoption. The proposed model addresses research gaps in AI recruiting research in general and arising ethical questions concerning the use of AI in people management in general and recruiting process in particular. We also discuss implications for further research and next steps of this research in progress work