Cloud Computing Adoption in Organizations: A Literature Review and a Unifying Model

Cloud computing is an attractive proposition to organizations because of its expected benefits. However, its perceived risks and challenges may discourage adoption. This trade-off between benefits and risks creates a dilemma on whether or how to approach cloud adoption. This study aims to advance the understanding of cloud computing adoption in organizations and proposes a unifying model of cloud adoption. A systematic literature review was employed to investigate the adoption factors studied in previous empirical settings. The review identified 41 primary studies and yielded a hierarchical cloud adoption model. The identified factors are in line with the technology-organization-environment framework and with the diffusion of innovation model, but new insights into the dimensions relevant to cloud adoption emerged from literature. For example, system availability and reliability, cost effectiveness, privacy and security, top management support, and market pressure are among the factors influencing adoption. Implications and future research are discussed

Information Search Patterns in Complex Tasks

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The impact of content marketing on attitudes and purchase intentions of online shoppers : the case of videos & tutorials and user-generated content

This thesis was written as part of a Double-Degree Masters program in Management, with focus in Marketing. Aligned with the nature of the degree, this study aims to be a useful tool for managers and marketers, which conduct business online. This thesis is a study of Content Marketing in the content of online commercial product pages. Its aim is to understand how to use content marketing to drive conversion, by understanding consumer attitudes and purchase intention towards content. A in-depth study of existing theories and exploratory primary research was developed in other to attain these objectives. The exploratory research was characterized by a survey experiment with online consumers. Participants were exposed to stimuli of content marketing tested according to their attitudes and purchase intention. The focus was to understand the impact of two different content marketing tactics—User-generated content and Videos & Tutorials—on attitudes and purchase intentions and how they interact with content complexity. The results indicate that content marketing in commercial product pages is relevant in driving consumer attitudes and purchase intentions. Consumers are not motivated by a specific content marketing tactic, unless that content has a certain level of complexity. In that case, User-Generated Content becomes a relevant tactic in product pages, however VT is not

An exploratory study of factors influencing make-or-buy of sales activities

Purpose This paper aims to explore how sales managers make resourcing decisions with particular focus on their perceptions of outsourcing. Design/methodology/approach This paper is based on in-depth interviews with 29 senior sales managers from a variety of industry sectors based in the UK. All had more than five years’ experience of making resourcing decisions. Findings The findings are that resourcing decisions are prompted by cost pressure, the need to access skills or to improve flexibility. Outsourcing preferences are strongly moderated by perceived reputational risk. Availability of suitable suppliers and the ability to manage outsourcing are also practical moderators. Research limitations/implications The sample was purposeful in identifying and accessing senior respondents in substantial companies with extensive experience, but it was not random. Practical implications Respondents reported a lack of information available when making resourcing decisions; the model proposed provides a framework by which sales managers can identify the factors which should be taken into account and the information they need to make objective evaluations of resourcing options. Originality/value It has been acknowledged in prior literature that there is relatively little outsourcing of sales activities. This is the first exploratory study of the perceptions of sales managers about resourcing options and the first conceptualisation of how sales resourcing decisions are made

Human-Machine Interaction and Human Resource Management Perspective for Collaborative Robotics Implementation and Adoption

The shift towards human-robot collaboration (HRC) has the potential to increase productivity and sustainability, while reducing costs for the manufacturing industries. Indeed, it holds great potential for workplaces, allowing individuals to forsake repetitive or physically demanding jobs to focus on safer and more fulfilling ones. Still, integration of humans and machines in organizations presents great challenges to IS scholars due to the complexity of aligning digitalization and human resources. A knowledge gap does persist about organizational implications when it comes to implement collaborative robotics in the workplace and to support proper HRC. Thus, this paper aims to identify recommended human resources management (HRM) practices from previous research about human-robot interaction (HRI). As our results highlight that few studies attempted to fill the gap, a conceptual framework is proposed. It integrates HRM practices, technology adoption dimensions and main determinants of HRC, in the objective to support collaborative robotics implementation in organizations

Acceptance model in designing for extreme users: extreme athletes using activity trackers

‘Extreme Users’ (EU) is a design method in Human Computer Interaction, which allows user-centered design in design groups. ‘Acceptance Models’ is a theory in Information Systems, which models how users accept and use technology. We conducted a study to explore the relationships of the factors influencing Extreme Athletes in the acceptance and use of Activity Trackers (AT). The data was collected from a cross-sectional survey conducted using a self-selected convenience sample of 206. The research rendered an exploration and an examination of the factors affecting trail-running athletes. The results were analyzed using several statistical techniques including Structural Equation Analysis. Our goal was to observe to what extent the Health Information Technology Acceptance Model patterns and outlines EU use of AT. This contribution, to the best of our knowledge, is new given that the obtained model can be an initial quantitative working primary tool for designers using the EU design method.info:eu-repo/semantics/publishedVersio

Retrieval Enhancements for Task-Based Web Search

The task-based view of web search implies that retrieval should take the user perspective into account. Going beyond merely retrieving the most relevant result set for the current query, the retrieval system should aim to surface results that are actually useful to the task that motivated the query. This dissertation explores how retrieval systems can better understand and support their users’ tasks from three main angles: First, we study and quantify search engine user behavior during complex writing tasks, and how task success and behavior are associated in such settings. Second, we investigate search engine queries formulated as questions, and explore patterns in a large query log that may help search engines to better support this increasingly prevalent interaction pattern. Third, we propose a novel approach to reranking the search result lists produced by web search engines, taking into account retrieval axioms that formally specify properties of a good ranking.Die Task-basierte Sicht auf Websuche impliziert, dass die Benutzerperspektive berücksichtigt werden sollte. Über das bloße Abrufen der relevantesten Ergebnismenge für die aktuelle Anfrage hinaus, sollten Suchmaschinen Ergebnisse liefern, die tatsächlich für die Aufgabe (Task) nützlich sind, die diese Anfrage motiviert hat. Diese Dissertation untersucht, wie Retrieval-Systeme die Aufgaben ihrer Benutzer besser verstehen und unterstützen können, und leistet Forschungsbeiträge unter drei Hauptaspekten: Erstens untersuchen und quantifizieren wir das Verhalten von Suchmaschinenbenutzern während komplexer Schreibaufgaben, und wie Aufgabenerfolg und Verhalten in solchen Situationen zusammenhängen. Zweitens untersuchen wir Suchmaschinenanfragen, die als Fragen formuliert sind, und untersuchen ein Suchmaschinenlog mit fast einer Milliarde solcher Anfragen auf Muster, die Suchmaschinen dabei helfen können, diesen zunehmend verbreiteten Anfragentyp besser zu unterstützen. Drittens schlagen wir einen neuen Ansatz vor, um die von Web-Suchmaschinen erstellten Suchergebnislisten neu zu sortieren, wobei Retrieval-Axiome berücksichtigt werden, die die Eigenschaften eines guten Rankings formal beschreiben

The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning

Using a Web search engine is one of today’s most frequent activities. Exploratory search activities which are carried out in order to gain knowledge are conceptualized and denoted as Search as Learning (SAL). In this paper, we introduce a novel framework model which incorporates the perspective of both psychology and computer science to describe the search as learning process by reviewing recent literature. The main entities of the model are the learner who is surrounded by a specific learning context, the interface that mediates between the learner and the information environment, the information retrieval (IR) backend which manages the processes between the interface and the set of Web resources, that is, the collective Web knowledge represented in resources of different modalities. At first, we provide an overview of the current state of the art with regard to the five main entities of our model, before we outline areas of future research to improve our understanding of search as learning processes. Copyright © 2022 von Hoyer, Hoppe, Kammerer, Otto, Pardi, Rokicki, Yu, Dietze, Ewerth and Holtz

Innovation attributes and managers' decisions about the adoption of innovations in organizations: A meta-analytical review

The adop­tion of in­no­va­tions has emerged as a dom­i­nant re­search topic in the man­age­ment of in­no­va­tion in or­ga­ni­za­tions, al­though in­ves­ti­ga­tions of­ten yield mixed re­sults. To help man­agers and re­searchers im­prove their ef­fec­tive­ness, the au­thors em­ployed a meta-analy­sis in­te­grated with struc­tural equa­tion mod­el­ing to an­a­lyze the as­so­ci­a­tions be­tween the at­trib­utes of in­no­va­tions, man­agers' be­hav­ioral pref­er­ences, and or­ga­ni­za­tions' in­no­va­tion adop­tion de­ci­sions in a me­di­ated-mod­er­ated frame­work. Our find­ings of­fer ev­i­dence that at­trib­utes of in­no­va­tions in­flu­ence man­agers' be­hav­ioral pref­er­ences and, con­se­quently, adop­tion de­ci­sions in or­ga­ni­za­tions. We also ob­serve the sig­nif­i­cance of the con­text in which the adop­tion de­ci­sion oc­curs as well as the re­search set­tings em­ployed by schol­ars. Fi­nally, we dis­cuss the the­o­ret­i­cal con­tri­bu­tion and prac­ti­cal im­pli­ca­tions of our meta-an­a­lyt­i­cal re­sults