Organizational Decision to Adopt Chatbot Technology: The Role of Organizing Vision and Technological Frame

This research project aims to explore the socio-cognitive determinants of the organizational adoption of artificial intelligence based chatbot by insurance companies. Technological frame and reception of organizing vision are used as conceptual foundations. A mixed method approach consisting of qualitative interviews and a quantitative questionnaire will serve as input to a Fuzzy set Qualitative Comparative Analysis. Main expected contribution is an understanding of the combined effect of technological frame and reception of organizing vision on organizational adoption of information technology

Effect of substantial competent team on training after ERP implementation, continual system improvement, department related to decision support and business performance- A study of critical success factors on implementation of ERP systems among process in

 The current research focused on estimating critical success factors that are substantial competent team, training after ERP implementation, continual system improvement, department related to decision support and business performance. The respondents chosen for the current research were employees of process industries in India who are working under ERP platform. Researcher formulated four research objectives and four research hypotheses and the sample size for the current study was 139. The researcher formulated one predictor variable being substantial competent team and three predicted variables as training after ERP implementation, continual system improvement, department related to decision support and business performance. The impact between predictor variable and predicted variables were positive and significant except substantial competent team and continual system improvement which were negative but significant. Organizations may concentrate more on continual system improvement as critical success factor to increase productivity after implementation of ERP systems at department level

Overcoming Perceptual Bias in IT Innovation Adoption using Multitrait-Multimethod Analysis

Previous studies in IT innovation adoption have dedicated scant attention to the solution of perceptual bias; which can be defined as a potential bias and error in perceptual measures due to the human tendency to make systematic errors in judgment, knowledge, and reasoning. In IT innovation adoption projects, there are multiple participants belonging different stakeholder groups that are exposed to asymmetric external/internal pressures and influences; hence, assessing different respondents in different groups using perceptual measures could be lead to erroneous interpretations if we do not take this situation into account. With this goal in mind, we propose a model to compare stakeholder perceptions on IT Innovation Adoption using confirmatory factor analysis based multitrait–multimethod analysis (CFA-MTMM). The main contribution of this article is to deal with the problem of perceptual bias when researchers have multiple respondents belonging different stakeholder groups. This contribution is relevant because a recent study shows that relatively little attention is being paid to method bias in top IS journals (King et al. 2007)

FINTECH IT INNOVATION SUCCESS DRIVERS

Innovation is vital to firm competitiveness. Increasingly, innovations from fintech startups are impacting their financial services neighbors. As additional capital flows into the fintech sector, leaders are making initial and continuing investment decisions on the projects in their innovation portfolio. The literature indicates insufficient research is available to help predict innovation success and how digital options (i.e., digital process reach and richness, and digital knowledge reach and richness) impact successful innovation. This paper theorizes that innovation success is positively related to entrepreneurial mindset and mediated by digital options. The R&D laboratory as a system and digital options theories are integrated to provide the theoretical context for this research

Towards Project Portfolio Management for Sustainable Outcomes in the Construction Industry

It is imperative that organisations improve their sustainability and there is a global push to reduce the environmental impact from project activities. This is especially true in construction, yet there is no ex1stmg framework to guide decision making and project portfolio management (PPM) for sustainable construction. This paper discusses the application of project portfolio management to the area of sustainable development in the construction industry. Using the understanding gained from existing PPM practices in a range of industries and the current approaches to risk and sustainability management in the construction industry, we propose a new maturity model for PPM. The maturity model aims to guide the introduction of sustainability factors into multi-project resource scheduling and risk analysis in the coustruction industry, and can be used to make the contribution to sustainability from an overall portfolio more sustainable than the sum of the contribution from individual projects, 1

PMO managers' self-determined participation in a purposeful virtual community-of-practice

Communities-of-practice (CoPs) have received significant attention within a variety of literatures but we remain largely ignorant of the potential of purposefully-created CoPs in global organisations. In this context, the challenge is likely to be convincing ‘masters’ (Wenger, 1998) on the merits of joining the conversation on practice at a distance, thus making the willingness for exchange a key to the quality and longevity of the community. We posed the question “Why would busy, dispersed, knowledgeable professionals want to join and participate in a deliberately-organised CoP?” Our 2-year collaborative action study allowed us to observe the CoP and its membership at close range. We conclude that autonomy, competence and belonging underscore participation, co-production and diffusion of innovative problem-solving and practice beyond the CoP. The study will inform organisations contemplating similar interventions and also serves as a basis for further investigation and theory building on organized CoPs by the research community

CLOUD ADOPTION: RELATIVE ADVANTAGE OR IT FASHION?

Cloud computing is a recent trend that has transformed the IS resource provisioning industry. However, the hype that cloud computing has received lately in combination with the ˜must-deploy´ imperative usually used by its promoters, makes it easy for decision makers to lose track of the reasons that make cloud computing valuable to business. At the same time, the IS research community has focused on addressing the factors that affect cloud adoption, paying little attention to the impact of external factors. Reviewing earlier work on diffusion of innovation theory and based on a preliminary qualitative research, we note that a main driver for cloud adoption is a set of factors that mark its relative advantage compared to earlier provisioning service models. Taking into account our interview data and fashion management theory, we extend earlier research work by introducing the tendency of organizations to follow IT fashion as a reason that also influnces cloud computing adoption. We therefore propose a research model that takes into account both relative advantage and fashion drivers for cloud adoption and we discuss further steps and control dimensions for empirically testing this model in future work

The Impact Of Knowledge From Learning-About Electronic Health Records On It Innovation Adoption: The Moderating Role Of Absorptive Capacity

Learning-by-doing is a crucial process to successful IT adoption. Yet, this type of organizational learning process is necessary but not sufficient to the adoption success. Learning-about, the pre-adoption learning activity, plays an equally important role in an organization’s IT adoption. In healthcare industry, hospitals are not always able to utilize healthcare information technologies (HITs), such as electronic healthcare records (EHRs), to generate high quality information for decision making. Having pre-adoption knowledge and the capacity to absorb the knowledge is likely to better the adoption results. This research proposes a conceptual model to explain the importance of the knowledge from learning-about EHR technology and explore the role absorptive capacity plays in EHR pre-adoption. This study contributes to the existing EHR literature by (1) adding pre-adoption knowledge into the ingredients of successful adoption, and (2) discussing the moderating effect of absorptive capacity to the relationship between pre-adoption knowledge and outcomes of adoption

Digital Platforms and Community Development: An Institutional Perspective on the Evolution of Platform-Based Ecosystems

Digital platforms are becoming an important catalyst for social transformation and development amongst a wide range of communities. However, prior studies have focused on the general structure of mature platform-based ecosystems and its impact on communities, with little research looking at the challenges facing digital platforms in their early stages of evolution to bring about change in a community. Using an interpretive case study approach, this study investigates how these platform-based ecosystems evolve and overcome institutional constraints to bring about social change. We build our theory development on the case of iGrow, which is a resource integration platform for the agricultural sector in Indonesia. The case indicates that an ecosystem needs to overcome different institutional constraints at various stages of its growth, and that the underlying digital platform helps the ecosystem in overcoming these constraints by offering an organizing vision that helps the ecosystem members construct meaning, provide legitimacy, and mobilize support for new practices and production activities. This analysis provides a theoretical foundation for understanding the mechanisms through which platform-based ecosystems evolve to enable or constrain community-driven change

Illuminating Organizing Vision Careers Through Case Studies

Three case studies that illuminate the careers of organizing visions also help us understand important case boundary choices characteristic of this type of research. The choices involve: time frames, cast of characters, action focus, observational means, lines of interpretation, and contextual anchors. We argue that these choices are best regarded as open-ended and provisional, subject to being reconsidered over the course of a study, to maximize insights gained. We relate the choices to major challenges in making cumulative research progress from studies of organizing vision careers