scholarly journals Factors shaping vendor differentiation in the Business Intelligence software industry

2012 ◽  
Vol 2 (3) ◽  
Author(s):  
Klaus Solberg Søilen ◽  
Anders Hasslinger
Keyword(s):  
Business Intelligence ◽  
Mixed Method ◽  
Online Survey ◽  
Pricing Strategies ◽  
Mixed Method Research ◽  
Application Integration ◽  
Security Issues ◽  
Maximum Benefit ◽  
User Centric ◽  
Definition Of

This paper is investigating, through a mixed-method research combining interviews and an online survey, how BI vendors differentiate themselves when it comes to application integration, security issues and pricing strategies. The conclusion is that BI vendors differentiated themselves mainly by having individual definitions of what BI is. Buyers are therefore advised to compare vendors through the vendor’s definition of Business Intelligence. Security issues were mainly user centric and pricing strategies implied that vendors approach buyers in a similar way where they offered standardized software bundles that would require some degree of customization in order for the buyer to derive the maximum benefit from the applications. It can be deduced from the obtained results that most competitive BI vendors are acting more homogenous towards buyers when they offer their products and handle customers, compared to niche BI vendors.

Designing a PhD Proposal in Mixed Method Research

2019 ◽  
pp. 36-48
Author(s):  
Ndungi wa Mungai
Keyword(s):  
Mixed Method ◽  
Quantitative Methods ◽  
Research Proposal ◽  
Mixed Method Research ◽  
Hypothetical Case ◽  
Mixed Method Approach ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Definition Of ◽  
Method Approach

This chapter reviews the challenges and advantages of writing a mixed method research (MMR) proposal. The argument put forward is that a mixed method approach overcomes the shortcomings of the commonly used qualitative and quantitative methods. A brief definition of a research proposal is followed by a discussion on the different interpretations of a mixed method and what makes mixed methods ideal in the proposal example that follows. A mixed method can be either one that utilizes qualitative and quantitative methods to different degrees or it can be regarded as a distinct method by itself. A mixed method is suitable where both different types of data can be collected, when the data adds value to what would be achieved using one approach and where cost also justifies it. A hypothetical case example where an application is being made to conduct an evaluation of an anti-truancy program is presented.

Designing a PhD Proposal in Mixed Method Research

2022 ◽  
pp. 211-221
Author(s):  
Ndungi wa Mungai
Keyword(s):  
Mixed Method ◽  
Quantitative Methods ◽  
Research Proposal ◽  
Mixed Method Research ◽  
Hypothetical Case ◽  
Mixed Method Approach ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Definition Of ◽  
Method Approach

This chapter reviews the challenges and advantages of writing a mixed method research (MMR) proposal. The argument put forward is that a mixed method approach overcomes the shortcomings of the commonly used qualitative and quantitative methods. A brief definition of a research proposal is followed by a discussion on the different interpretations of a mixed method and what makes mixed methods ideal in the proposal example that follows. A mixed method can be either one that utilizes qualitative and quantitative methods to different degrees or it can be regarded as a distinct method by itself. A mixed method is suitable where both different types of data can be collected, when the data adds value to what would be achieved using one approach and where cost also justifies it. A hypothetical case example where an application is being made to conduct an evaluation of an anti-truancy program is presented.

Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey (Preprint)

2020 ◽  
Author(s):  
Weihua Yang ◽  
Bo Zheng ◽  
Maonian Wu ◽  
Shaojun Zhu ◽  
Hongxia Zhou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Ethics ◽  
Online Survey ◽  
Medical Professionals ◽  
Medical Field ◽  
Acceptance Level ◽  
Professional Workers ◽  
Basic Understanding ◽  
Comparative Survey ◽  
Definition Of

BACKGROUND Artificial intelligence (AI) is widely applied in the medical field, especially in ophthalmology. In the development of ophthalmic artificial intelligence, some problems worthy of attention have gradually emerged, among which the ophthalmic AI-related recognition issues are particularly prominent. That is to say, currently, there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. OBJECTIVE This survey aims to assess medical workers’ and other professional technicians’ familiarity with AI, as well as their attitudes toward and concerns of ophthalmic AI. METHODS An electronic questionnaire was designed through the Questionnaire Star APP, an online survey software and questionnaire tool, and was sent to relevant professional workers through Wechat, China’s version of Facebook or WhatsApp. The participation was based on a voluntary and anonymous principle. The questionnaire mainly consisted of four parts, namely the participant’s background, the participant's basic understanding of AI, the participant's attitude toward AI, and the participant's concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. RESULTS A total of 562 professional workers completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 37.9% of the participants understood AI, and 31.67% understood ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that ophthalmic AI would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with ophthalmic AI application experiences (30.6%), respectively about 84.25% of medical professionals and 73.33% of other professional technicians held a full acceptance attitude toward ophthalmic AI. The participants expressed concerns that ophthalmic AI might bring about issues such as the unclear definition of medical responsibilities, the difficulty of ensuring service quality, and the medical ethics risks. And among the medical workers and other professional technicians who understood ophthalmic AI, 98.39%, and 95.24%, respectively, said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. CONCLUSIONS Analysis of the questionnaire results shows that the medical workers have a higher understanding level of ophthalmic AI than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI, but generally had a relatively high acceptance level of ophthalmic AI, believing that doctors would partly be replaced by it and that there was a need to strengthen research into medical ethics issues of the field.

Triangulating Area Studies, Not Just Methods

2018 ◽  
Author(s):  
Rudra Sil
Keyword(s):  
Qualitative Research ◽  
Comparative Analysis ◽  
Qualitative Methods ◽  
Mixed Method ◽  
Mixed Method Research ◽  
Area Studies ◽  
Trade Offs ◽  
Middle Range ◽  
Causal Laws ◽  
Quantitative And Qualitative Methods

This chapter revisits trade-offs that qualitative researchers face when balancing the different expectations of area studies and disciplinary audiences. One putative solution to such trade-offs, mixed-method research, emphasizes the triangulation of quantitative and qualitative methods. CAS, as defined above, essentially encourages a different form of triangulation—the pooling of observations and interpretations across a wider array of cases spanning multiple areas. This kind of triangulation can be facilitated by cross-regional contextualized comparison, a middle-range approach that stands between area-bound qualitative research and (Millean) macro-comparative analysis that brackets out context in search of causal laws. Importantly, this approach relies upon an area specialist’s sensibilities and experience to generate awareness of local complexities and context conditions for less familiar cases. The examples of cross-regional contextualized comparison considered in this chapter collectively demonstrate that engagement with area studies scholarship and the pursuit of disciplinary knowledge can be a positive-sum game.

scholarly journals Remote learning and students’ mental health during the Covid-19 pandemic: A mixed-method enquiry

Prospects ◽  
2021 ◽  
Author(s):  
Suzanne Lischer ◽  
Netkey Safi ◽  
Cheryl Dickson
Keyword(s):  
Mental Health ◽  
Health Status ◽  
University Students ◽  
Undergraduate Students ◽  
Mixed Method ◽  
Online Survey ◽  
Current Situation ◽  
Distance Teaching ◽  
Learning Conditions ◽  
Support Students

AbstractThe disruption caused by Covid-19 in the educational sector may last longer than originally predicted. To better understand the current situation, this article analyses the mental health status of university students during the pandemic and investigates the learning conditions needed to support students. The sample included 557 undergraduate students who took part in an online survey. Overall, the students reported coping well during lockdown but indicated that lecturers were challenged by distance teaching, which created some stress for the students.

scholarly journals Toward a better understanding of team decision processes: combining laboratory experiments with agent-based modeling

2021 ◽  
Author(s):  
Iris Lorscheid ◽  
Matthias Meyer
Keyword(s):  
Laboratory Experiment ◽  
Mixed Method ◽  
Agent Based Modeling ◽  
Decision Processes ◽  
Mixed Method Research ◽  
Team Cognition ◽  
Agent Based Model ◽  
Agent Based ◽  
Individual Level ◽  
Team Decision

AbstractDespite advances in the field, we still know little about the socio-cognitive processes of team decisions, particularly their emergence from an individual level and transition to a team level. This study investigates team decision processes by using an agent-based model to conceptualize team decisions as an emergent property. It uses a mixed-method research design with a laboratory experiment providing qualitative and quantitative input for the model’s construction, as well as data for an output validation of the model. First, the laboratory experiment generates data about individual and team cognition structures. Then, the agent-based model is used as a computational testbed to contrast several processes of team decision making, representing potential, simplified mechanisms of how a team decision emerges. The increasing overall fit of the simulation and empirical results indicates that the modeled decision processes can at least partly explain the observed team decisions. Overall, we contribute to the current literature by presenting an innovative mixed-method approach that opens and exposes the black box of team decision processes beyond well-known static attributes.

Barriers to recognition for migrant teachers in Ireland

2021 ◽  
pp. 147490412110317
Author(s):  
Rory Mc Daid ◽  
Emer Nowlan
Keyword(s):  
Mixed Method ◽  
Ethnic Diversity ◽  
Primary Schools ◽  
Teaching Experience ◽  
Accreditation Process ◽  
Mixed Method Research ◽  
Registration Process ◽  
Sequential Explanatory Mixed Method ◽  
Formal Accreditation ◽  
Selection Of

Despite an increase in ethnic diversity within the state, the Irish teaching workforce remains starkly mono-ethnic. This article is based on an analysis of data generated through a sequential explanatory mixed method research project involving questionnaire responses from 240 migrant teachers and subsequent focus group with a selection of teachers. Findings suggest that migrant teachers are slow to engage in the formal accreditation process, and face considerable challenges when they do. This reflects not only practical difficulties, but also narrow discourses of who can legitimately be recognised as a teacher in Ireland. This in turn is linked to cultural arbitraries highlighted through the research, such as a requirement to be able to teach through the Irish language in primary school and a requirement to be registered to teach in primary or post-primary schools only. In exploring these barriers, we draw broadly on Bourdieu and Passeron’s (1990) work, which understands teachers as pedagogic agents, imbued with pedagogic authority through formal processes of accreditation and selection. These processes involve the imposition of cultural arbitraries which legitimate certain languages, content or stances over others. Recommendations include revisions to the registration process to take previous teaching experience into account.

scholarly journals Perceptions and experiences of frailty interventions: quantitative and qualitative results from a survey of partners within the European Innovation Partnership on Active and Healthy Ageing (EIP-AHA)

2017 ◽  
Vol 38 (9) ◽  
pp. 1843-1867 ◽  
Author(s):  
HOLLY GWYTHER ◽  
RICHARD COOKE ◽  
RACHEL SHAW ◽  
MAURA MARCUCCI ◽  
ANTONIO CANO ◽  
...  
Keyword(s):  
Older Adults ◽  
Mixed Method ◽  
Online Survey ◽  
Healthy Ageing ◽  
Social Aspect ◽  
Free Text ◽  
Active And Healthy Ageing ◽  
Perceived Benefit ◽  
Inductive Thematic Analysis ◽  
Method Approach

ABSTRACTThe European Innovation Partnership on Active and Healthy Ageing (EIP-AHA) was launched by the European Commission in 2011 to promote innovation in ageing research. This paper explores the experiences of partners delivering frailty interventions within Europe, registering their programmes with the EIP-AHA. Data were collected using an online survey from 21 partners in seven countries. A mixed-method approach was used with inductive thematic analysis of free-text responses to improve data richness. Responses indicated that there was a lack of consistency between EIP-AHA partners in methods of defining, screening and measuring for frailty and pre-frailty. Open responses to survey questions about intervention facilitators, moderators and barriers were coded into two themes: working with stakeholders and project management. We concluded that EIP-AHA partners are providing interventions addressing physical, cognitive and wellbeing elements of frailty. However, there needs to be an increase in the proportion of interventions that consistently apply valid methods of screening and/or measuring frailty and pre-frailty. Most, but not all projects are targeting pre-frail older adults, suggesting an appropriate balance of prevention in a useful ‘intervention window’ but also a growing understanding that frailty at later stages is amenable to intervention. Findings suggest design manipulations to improve outcomes and adherence to interventions, specifically inclusion of a perceived benefit/reward for older adults, e.g. a social aspect or health-care promotion.

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