In today‟s computerized society every organization need a sophisticated “Information System” to compete in the business world. Some of the organizations outsource their Information Systems and some implements their own custom designed information Systems. Business information systems implementation has been historically bothered by failures for which users resistance has been identified as an important reason. Users‟ satisfaction can be achieved by solving the psychological problems and technical issues which are creating psychological problems during the implementation of IS. Some important aspects during implementation of business information systems like, interdepartmental relationship, knowledge management, independence of tasks and user satisfaction importance is highlighted for organizations. To find the Psychological problems during implementation of business information system and how the resistance from the users can be tackled is the aim of the study. This study also presents suggestions to organizations for enhancing users‟ satisfaction and making the Implementation process of “BIS” a success. / Program: Magisterutbildning i informatik

In the research of the business IS development the business rules approach has achieved a lot of attention and already has a steady niche with a strong motivation behind. The usefulness of the approach and its advantages over the traditional IS development approaches call for the technology standards. Despite the work done towards standardization there is still a way to go – commercial products use their unique modeling languages for business rules, most of their rules processing and enforcement engines are stand-alone, even the embeddable ones use their unique rules representation format. In our research focusing on the business rules we have stepped towards employing the widely spread technology of active databases and have argued that it is feasible and possible to model business rules using conceptual graphs. Such a model having representations in visual and textual form (linear form and CGIF) and the possibility to translate the model to the near natural English language can be used both at conceptual and implementation levels. We have designed and implemented the automatic trigger generation component. Using the representative example from the real business organization (the representative example was comprised of structural domain knowledge and corresponding business rules) we have carried out the experiment during which the business rules model was transformed from visual notation to CGIF, then from CGIF to XML, and then from XML to MS SQL Server trigger. The... [to full text]

Diss. Techn. Univ. Darmstadt, 2009. / Business and Economics (German Language) (Springer-11775) (GWV).

Diss. Techn. Univ. Darmstadt, 2009. / Business and Economics (German Language) (Springer-11775) (GWV).

Diss. Univ. München, 2006.

This thesis is focused on description the situation in the field of providing business information systems in the form of services and aspects related to the transition IT department from software licensing model to consumption of software in the form of IT services - the software as a service model (SaaS). The main objective of this thesis is to analyze the impact of the transition in enterprise IT department from software licensing model to SaaS model. To achieve this goal there is an adequate theoretical basis described in the theoretical part of this work and survey on the basis of interviews in the practical section. The first part describes the development of enterprise information model to cloud computing, including the presentation of the current market situation. The second part discusses the requirements to enterprise IT department in SaaS model, including an analysis of the impact of the transition to SaaS. In the final part of this thesis is carried out survey within the small and medium-sized companies that have moved their business information systems to SaaS model. The contribution of this thesis is primarily in the analysis and recommendations for companies that planning to move to the SaaS model. In the theoretical part of this thesis it is description of the impact of SaaS to the enterprise IT department, including assessing the relevance of ITIL framework in the time of SaaS.

The purpose of this study was to explore the alignment of soft skills sought by current business IS entry-level employers in electronic job postings, with the integration of soft skills in undergraduate business information systems (IS) syllabi of public four-year universities in Texas. One hundred fifty job postings were extracted from two major electronic career databases. Ten undergraduate AACSB-accredited programs in the field of business information systems (IS) were investigated, and syllabi for the 70 major courses of the business IS programs were obtained for review. Content analysis was applied to all job postings and syllabi, exposing all soft skills related to the 9 categories used in this study adapted from the 21st Century Framework for Learning (Partnership for 21st Century Learning, 2009). Frequencies were tabulated to determine rank of soft skills in job postings and syllabi, and Jaccard’s coefficient statistic of occurrence was used for cluster analysis. Soft skills within all 9 categories were found in job postings (n = 1554) and course syllabi (n = 774). Three soft skill categories were aligned between job postings and syllabi: (1) initiative and self-direction, (2) social and cross-cultural skills, and (3) flexibility and adaptability. However, because differences in the higher ranked frequencies of soft skills in job postings and syllabi were noted, the null hypothesis of this study was rejected.

<div>Digitization has led to emergence of many platforms-based markets. In this dissertation I focus on three different design problems in these markets. The first essay relates to augmented-reality platforms. Pok\'emon Go, an augmented-reality technology-based game, garnered tremendous public interest upon release with an average of 20 million active daily users. The game combines geo-spatial elements with gamification practices to incentivize user movement in the physical world. This work examines the potential externalities that such incentives may have on associated businesses. Particularly, we study the impact of Pok\'emon Go on local restaurants using online reviews as a proxy for consumer engagement and perception. We treat the release of Pok\'emon Go as a natural experiment and study the post-release impact on the associated restaurants. We find that restaurants located near an in-game artifact do indeed observe a higher level of consumer engagement and a more positive consumer perception as compared with those that have no in-game artifacts nearby. In addition, we find that the heterogeneous characteristics of the restaurants moderate the effect significantly. To the best of our knowledge, this study is the first to examine the economic implications of augmented-reality applications. Thereby, our research lays the foundations for how augmented-reality games affect consumer economic behavior. This work also builds insights into the potential value of such associations for business owners and policymakers. </div><div><br></div><div>The second essay focuses on the platform design problem in sponsored seaerch ad-market.Recent advances in technology have reduced frictions in various markets. In this research, we specifically investigate the role of frictions in determining the efficiency and bidding behavior in a generalized second price auction (GSP) -- the most preferred mechanism for sponsored search advertisements. First, we simulate computational agents in the GSP setting and obtain predictions for the metrics of interest. Second, we test these predictions by conducting a human-subject experiment. We find that, contrary to the theoretical prediction, the lower-valued advertisers (who do not win the auction) substantially overbid. Moreover, we find that the presence of market frictions moderates this phenomenon and results in higher allocative efficiency. These results have implications for policymakers and auction platform managers in designing incentives for more efficient auctions.</div><div><br></div><div>The third essay is about user-generated content platforms. These platform utilize various gamification strategies to incentivize user contributions. One of the most popular strategy is to provide platform sponsorships like a special status. Previous literature has extensively studied the impact of having these sponsorships user contributions. We specifically focus on the impact of losing such elite status. Once their contributions to the platform reduce in volume, elite users lose status. Using a unique empirical strategy we show that users continue to contribute high quality reviews, even though they lose their status. We utilize NLP to extract various review characteristics including sentiment and topics. Using an empirical strategy, we find that losing status does not modify the topic of the reviews written by the users, on average. </div><div><br></div>

The purpose of this study is to examine the nature of performance measures utilised by the maintenance function in todays business organisations. In the process, the increasing variety and significance of these measures are addressed from operational and strategic perspectives. A survey-based research method was utilised to gather the research data. Several statistical procedures were utilised to analyse the data. The findings of this study point to the multifaceted nature of the maintenance measures and measurement. Multiple categories of maintenance measures were identified. These categories varied from the machine-specific, to measures impacting organisational performance. The relative lack of emphasis placed on the environment and strategic facets of maintenance is noted. The findings of this study have direct implications to organisations, which are attempting to measure the effectiveness of their maintenance efforts. The need to align the maintenance performance efforts with the organisational strategic direction is emphasised. In this context, the integration of the maintenance performance information systems with the overall organisational performance management information system might facilitate the needed alignment. This study utilises 120 maintenance measures. As such, it represents a comprehensive view of the maintenance effort.

<div>The digital transformation of markets can remove traditional geographic restrictions, democratizing access to previously unattainable products, and enable individuals to extract rent from their personal assets. However, these digital innovations often have competitors and complementors that are not immune to the impact of local factors such as the local market structure, economic condition, and even demographics. This dissertation examines the geographic and demographic heterogeneity driven disparities in two digitally transformed markets, the financial and accommodations sectors respectively.</div><div><br></div><div>First, we study the impact of local financial market competition in managing online peer-to-peer loans. With the boom of financial technologies (FinTech), a critical question is whether the local financial market structure still matters. Unlike traditional retail financial institutions that are predominantly territorial, FinTech-based platforms, in particular peer-to-peer (P2P) lending, provide individuals equal access to funds by removing typical geographic restrictions. Combined with other benefits such as ease-of-use and lower interest rates, P2P lenders are increasingly threatening the traditional local lenders. A largely unanswered question in the literature is whether the local retail financial institutions strategically respond to the rise of such P2P platforms. Moreover, if the strategic reaction of traditional institutions continues the legacy of being territorial, borrowers will ultimately gain unevenly from the competition. That is, where a borrower lives may still matter. In this chapter, we devise multiple strategies to empirically analyze the extent and nature of the strategic response of traditional institutions to P2P lending. This includes: (1) utilization of a Probit model that leverages the richness of our local market data and (2) exploitation of bank mergers as exogenous shocks to local market structure. We find consistently that a borrower from a more competitive market is more likely to prepay, suggesting that local market structure plays a pivotal role in P2P borrowers' debt management. We validate the underlying mechanism by studying the improving credit profiles of borrowers and platforms' (exogenous) changes in pricing in moderating the main effect. This mechanism reveals that traditional banks, especially when their local market conditions support, credibly responds to the growth of P2P and are successful in attracting consumers back to traditional financial products. Relatedly, we document heterogeneity in the benefits that borrowers gain from the local market structure (using a machine learning algorithm) and verify the robustness of our main findings. We discuss the implications for P2P lending, other crowd-based markets, and local retail financial markets.</div><div><br></div><div>Second, we examines the heterogeneous economic spillover effects of a home sharing platform---Airbnb---on the growth of a complimentary local service---restaurants. By circumventing traditional land-use regulation and providing access to underutilized inventory, Airbnb is attracting visitors of a city to vicinities that are not traditional tourist destinations. Although visitors generally bring significant spending power, it is, however, not clear if the visitors use Airbnb primarily for lodging, thus, not contributing to the adjacent vicinity economy. To evaluate this, we focus on the impact of Airbnb on the restaurant employment growth across vicinities in New York City (NYC). Our results indicate that if the intensity of Airbnb activity (Airbnb reviews per household) increases by 1\%, the restaurant employment in an average area grows by approximately 1.03\%. We also investigate the role of demographics and market concentration in driving the variation. Notably, restaurants in areas with a relatively high number of Black residents do not benefit from the economic spillover of Airbnb activity. Also, restaurants in more competitive areas reap the benefit from this spillover most. We validate the underlying mechanism behind the main result by evaluating the impact of Airbnb on Yelp visitor reviews -- areas with increasing Airbnb activity experience a surge in their share of NYC visitor reviews. This result is further validated by evaluating the impact of a unique Airbnb neighborhood level policy recently implemented in New Orleans. </div>