In this research we present a model for medication adherence from information systems and technologies (IS/IT) perspective. Information technology applications for healthcare have the potential to improve cost-effectiveness, quality and accessibility of healthcare. To date, measurement of patient medication adherence and use of interventions to improve adherence are rare in routine clinical practice. IS/IT perspective helps in leveraging the technology advancements to develop a health IT system for effectively measuring medication adherence and administering interventions. Majority of medication adherence studies have focused on average medication adherence. Average medication adherence is the ratio of the number of doses consumed and the number of doses prescribed. It does not matter in which order or pattern patients consume the dose. Patients with enormously diverse dosing behavior can achieve the same average levels of medication adher­ence. The same outcomes with different levels of ad­herence raise the possibility that patterns of adherence affect the effectiveness of medication adherence. We propose that medication adherence research should utilize effective medication adherence (EMA), derived by including both the pattern and average medication adherence for a patient. Using design science research (DSR) approach we have developed a model as an artifact for smart interventions. We have leveraged behavior change techniques (BCTs) based on the behavior change theories to design smart intervention. Because of the need for real time requirements for the system, we are also focusing on hierarchical control system theory and reference model architecture (RMA). The benefit of using this design is to enable an intervention to be administered dynamically on a need basis. A key distinction from existing systems is that the developed model leverages probabilistic measure instead of static schedule. We have evaluated and validated the model using formal proofs and by domain experts. The research adds to the IS knowledge base by providing the theory based smart interventions leveraging BCTs and RMA for improving the medication adherence. It introduces EMA as a measurement of medication adherence to healthcare systems. Smart interventions based on EMA will further lead to reducing the healthcare cost by improving prescription outcomes.

The IT artifact is at the core of the information systems (IS) discipline and yet most IS research does not directly theorize the IT artifact or its nomological network (Benbasat and Zmud 2003; Orlikowski and Iacono 2001). This research seeks to answer a repeated call for more direct engagement with the IT artifact and its nomological net with affordance theory adopted as the basis for this theoretical work. An exploratory case study was conducted to answer the research question, how do the material properties of health information systems enable and constrain the work practices of clinicians? The study was conducted at a large urban acute care hospital in the Midwestern United States with registered nurses working on inpatient care units as the clinicians of interest. Through interviews with nurses and other clinical stakeholders and the observation of nurse’s work practices on three patient care units in the hospital, theoretical insights were developed on the nature of affordances for information systems research. IS affordances are defined in this study as relationships between abilities of an individual and features of an information systems within the context of the environment in which they function. The concepts of an affordance range and an affordance threshold are proposed as theoretical constructs in the nomological network of affordances that help to explain the use of information systems as a function of the difficulty of acting on IS affordances. The relationship between affordances and constraints is theorized and linked to the affordance range and threshold with the assertion that constraints are closely associated with the difficulties experienced by users in acting on IS affordances. The challenge of studying IS affordances in all their complexity is discussed with the suggestion that researchers take the user’s perspective of affordances to alleviate the need for repeated decomposition. Finally, the role of information systems in facilitating social interaction is emphasized through the concept of affordances for sociality. The contribution of this research to the IS field is a more nuanced understanding of the nature of the IT artifact and its relationship to the users of that technology.

Information Technology Technical Competency is critical for the optimal functioning of any organization. IT personnel need to be competent in their technical skills. Studying how IT personnel build their technical competencies is a critical but under-studied area of research. To date, very little research has been done on how to build IT Technical Competencies, and virtually none of this research begins with qualitative data or uses IT personnel as key respondents. Initially, we evoke a revealed causal map that shows four concepts in the IT Environment construct: the Technical Environment, the People Environment, the Business Environment, and the Job Environment. Our model first proposes a relationship between the IT Environment and IT Technical Competency. An original survey based on the qualitative data was developed for this study. Data was collected at four research sites: a manufacturing organization, a healthcare organization, a government organization, and an education organization. All together 101 respondent's survey answers were analyzed. We tested the proposed model of IT Technical Competency using the method of path analysis with linear regression. Our results indicated that the Technical and Business Environments are viewed as one, so we end up with a three environment concept model of IT Technical Competency. Our model achieved a R-squared value of above 0.5, meaning that the environment surrounding IT personnel, the IT Environment, is 50% related to IT Technical Competency. This is the first model to this author's knowledge that holistically looks at environment in relation to technical competency. Future research will continue look more in-depth at each of the concepts in this environment individually.

Business Analytics används idag i ökad grad i organisationer som grund till beslutsfattande. Ett av villkoren för att kunna använda sig av Business Analytics för att utföra analyser av data från olika källor är att det finns interoperabilitet mellan dem. Syftet med den här studien är att undersöka om det är möjligt att skapa en IT-artefakt som kan hämta data ifrån flertalet XML-dokument med olika struktur för att uppnå semantisk interoperabilitet och på så vis möjliggöra för Business Analytics. Med olika struktur menar vi att benämningarna på taggarna skiljer sig språkmässigt men har samma semantiska betydelse. Lösningen skapas genom forskningsstrategin Design Science vilket innebär att en IT-artefakt utvecklas som kunskapsbidrag, och visar att en implementation av en lösning är möjlig för de semantiska problem vi identifierat. Resultatet av utvecklingen är en flexibel IT-artefakt där en användare kan koppla samman och hämta data från XML-filer med olika struktur. Denna sammankoppling skapas genom att användaren själv kan bygga upp och använda en ontologi med de ord som används som taggar i XML-filerna. Genom att använda ontologier på det här sättet visar vi med vår forskning att det är möjligt att uppnå semantisk interoperabilitet mellan XML-filer med olika struktur. Utifrån resultatet av den IT-artefakt vi skapar kan vi dra slutsatser om att det går att skapa en generell lösning för denna typ av problematik. / Today Business Analytics is becoming increasingly popular and is utilized by organizations to analyze data that is used as support for decision-making. Business Analytics requires that interoperability exists between the data sources used to gather and compile data for analysis to ensure that data can be correctly interpreted. Therefore, the aim of this study is to investigate the possibility of creating an IT-artifact for querying several XML-documents consisting of various structures in order to achieve semantic interoperability, thus enabling Business Analytics. The structural differences considered in this report focuses on when XML-tags have been given different names that essentially have the same semantic meaning. The research strategy Design Science has been used when creating the solution. As a result of the research strategy the knowledge contribution is an IT-artifact. The IT-artifact is a Proof of concept that demonstrates a possible implementation of a solution that handles the semantic problems identified in this report. The result of the development is a flexible application that users can utilize to gather data from XML-files with different structures. This is made possible by letting the user create an ontology containing the tag names from the XML-files. By using ontologies like this we have given proof that it is possible to accomplish interoperability between XML-files with different structures. The conclusion that can be drawn from the development of the IT-artifact is that it is possible to create a general solution for the identified problem.

The purpose of our research is to empirically test how system attributes of blockchain build trust through system and information components in blockchain food traceability systems. Findings showed that system attributes of blockchain are strong predictors of trust leading to intention to purchase. A sample of 358 responses were collected from college students through online survey. SmartPLS 3.0 is adopted for data analysis. We made contributions by building a new research model to guide future studies on trust formation in blockchain based systems as well as informing practice to adopt proven features of blockchain to create and capture values for customers.

Before the pandemic, many public sectors were heavily dependent on American cloud services. When the pandemic broke out, remote work became a necessity, making existing communication systems like Skype, email, and file sharing crucial to support this transition. The joint project dSam (Digital Collaboration Platform for the Public Sector) has investigated and evaluated the market for suitable solutions that are both secure and meet legal requirements. The project was completed in the autumn of 2022 and delivered a report that included the tools tested and met the basic requirements. Organizations would then, in connection with procurement, consider the additional requirements they have for a service adapted to their own operations. The main purpose of this study is to investigate and understand the factors influencing the procurement of digital information systems within the public sector, as well as to gain an understanding of the interaction between people and technology that can provide insights into how behaviors and attitudes can be optimized for successful procurement. The empirical material consists of semi‐structured interviews with authorities, supplemented with observations. These data were analyzed based on Orlikowskiʹs (1992) structuration theory. The studyʹs results identify ten factors that strongly influence the procurement of digital information systems in the public sector. Additionally, a significant research gap regarding theories on IT artifacts is identified. / Före pandemin var många offentliga sektorer starkt beroende av amerikanska molntjänster. När pandemin bröt ut blev distansarbete en nödvändighet, vilket gjorde befintliga kommunikationssystem som Skype, e‐post och fildelning avgörande för att stödja denna omställning. Det gemensamma projektet dSam (Digital samarbetsplattform för offentlig sektor) har undersökt och utvärderat marknaden efter lämpliga lösningar som både är säkra och uppfyller de juridiska kraven. Projektet avslutades hösten 2022 och levererade en rapport som innehöll de verktyg som testats och uppfyllde de grundläggande kraven. Organisationerna skulle sedan, i samband med upphandling, utgå från de övriga krav som organisationerna ställer på en tjänst anpassad för egen verksamhet. Huvudsyftet med denna studie är att undersöka och förstå de faktorer som påverkar upphandlingen av digitala informationssystem inom den offentliga sektorn samt ge en förståelse för samspelet mellan människor och teknik som kan ge insikter om hur beteenden och attityder kan optimeras för att uppnå en framgångsrik upphandling. Det empiriska materialet består av semistrukturerade intervjuer med myndigheter kompletterat med observationer Dessa data analyserades med utgångspunkt från Orlikowskis (1992) strukturationsteori. Studiens resultat identifierar tio faktorer som starkt påverkar upphandling av digitala informationssystem i offentlig sektor. Dessutom identifieras ett betydande forskningsgap rörande teorier om IT‐artefakter.