Key factors to bear in mind when writing a marketing case study: Peter R J Trim

2012 ◽  
pp. 129-141
Keyword(s):  
Key Factors

Considerations for EHR section for the surgical specialist: Insights from a case study

2018 ◽  
pp. 1-2
Keyword(s):  
Electronic Health Records ◽  
Private Practice ◽  
Patient Relationship ◽  
Key Factors ◽  
Health Records ◽  
Start Up ◽  
Insurance Payment ◽  
System Selection ◽  
Office Procedures

Context: Surgical specialists have unique considerations when selecting and using electronic health records (EHRs). Aim: We sought to identify key factors and considerations during system selection and implementation for the surgical subspecialist. Case study: Insights from system selection and implementation for a start-up plastic surgery private practice were used to inform a broader set of principles for surgical subspecialists in private practice selecting and using EHRs. What can be learned: The nature of the provider-patient relationship is episodic and such as maintaining inventory, managing images, annotating images, documenting and billing in-office procedures, and integration of cash-based and insurance payment. Conclusion: Surgeons in private practice and as part of larger institutions can use insights from this case study to inform their own efforts in system selection and optimization for ongoing use.

scholarly journals Digital Storytelling in Cultural Heritage: Audience Engagement in the Interactive Documentary New Life

2021 ◽  
Vol 13 (3) ◽  
pp. 1193
Author(s):  
Anna Podara ◽  
Dimitrios Giomelakis ◽  
Constantinos Nicolaou ◽  
Maria Matsiola ◽  
Rigas Kotsakis
Keyword(s):  
Cultural Heritage ◽  
Full Range ◽  
Social Dimension ◽  
Data Driven ◽  
Specific Interest ◽  
Key Factors ◽  
Audience Engagement ◽  
Main Research ◽  
The Social

This paper casts light on cultural heritage storytelling in the context of interactive documentary, a hybrid media genre that employs a full range of multimedia tools to document reality, provide sustainability of the production and successful engagement of the audience. The main research hypotheses are enclosed in the statements: (a) the interactive documentary is considered a valuable tool for the sustainability of cultural heritage and (b) digital approaches to documentary storytelling can provide a sustainable form of viewing during the years. Using the Greek interactive documentary (i-doc) NEW LIFE (2013) as a case study, the users’ engagement is evaluated by analyzing items from a seven-year database of web metrics. Specifically, we explore the adopted ways of the interactive documentary users to engage with the storytelling, the depth to which they were involved along with the most popular sections/traffic sources and finally, the differences between the first launch period and latest years were investigated. We concluded that interactivity affordances of this genre enhance the social dimension of cultural, while the key factors for sustainability are mainly (a) constant promotion with transmedia approach; (b) data-driven evaluation and reform; and (c) a good story that gathers relevant niches, with specific interest to the story.

scholarly journals Synergic Relationship and Synergic Degree between an Information System and Corporate Strategy

2013 ◽  
Vol 13 (Special-Issue) ◽  
pp. 110-121
Author(s):  
Xie Xiang ◽  
Guan Zhongliang ◽  
Wang Xiaoliang ◽  
Liu Jiashi
Keyword(s):  
Information Technology ◽  
Information System ◽  
Core Competence ◽  
Corporate Strategy ◽  
Key Factors ◽  
Measure Model ◽  
Matching Degree ◽  
Is Value

Abstract With the development of information technology, the Information System (IS) has not the characters of rareness and inimitability, so an IS cannot form core competence alone. Forming synergic relationship and keeping higher synergic degree between IS and corporate strategy will help the enterprises acquire competence advantage and realize IS value. This paper analyzes the conditions of forming synergic relationship between an IS and strategy, and points out that the key factors for a synergic degree are the strategy rationality and the matching degree between the IS and strategy. Based on the analysis result and BCG growth share matrix, this paper constructed a synergy degree measure model to evaluate the synergic relationship between the IS and corporate strategy. Finally, a case study is used to verify the feasibility of the model.

Compulsory Science Policy: Enhancing Gender Equality In Education? A Case Study Of Academic Achievement In Uganda

2021 ◽  
pp. 183-194
Author(s):  
Joyce Ayikoru Asiimwe
Keyword(s):  
Science Policy ◽  
Policy Design ◽  
Key Factors ◽  
Physical Sciences ◽  
Focus Group Discussions ◽  
Group Discussions ◽  
Number Of Factors ◽  
Equality In Education ◽  
Depth Interviews

This paper communicates the results of a diagnostic evaluation of the performance of boys and girls in physical sciences at Ordinary level in Uganda after the adoption of the compulsory science policy. The objectives of the study were twofold: to examine the academic performance of boys and girls in the Uganda National Examinations from 2007 to 2010, and to highlight key factors that continue to influence the achievement of students, especially girls in sciences. Data was obtained from five co-educational secondary schools using documentary reviews, in-depth interviews and focus group discussions. The results revealed that the performance of both boys and girls have further declined after the implementation of the compulsory science policy. However, in comparison to the boys, girls in co-educational schools were still more likely to be among the poorest performers in sciences. This was attributed to a number of factors, key among them being girls' self-concept in sciences, and teachers' perception of girls' abilities in sciences. These findings reiterate the need to mainstream gender into both policy design and implementation.

The combination of different open innovations: a longitudinal case study

2019 ◽  
Vol 13 (2) ◽  
pp. 342-362
Author(s):  
Xiaodong Yuan ◽  
Xiaotao Li
Keyword(s):  
New Product Development ◽  
Open Innovation ◽  
Point Of View ◽  
Longitudinal Case Study ◽  
Key Factors ◽  
Content Type ◽  
Strategic Direction ◽  
Different Types ◽  
Innovation Capacity

Purpose The purpose of this paper is to explore how an organization can combine different types of open innovations and what are the key factors that may influence the combination of different open innovations. Design/methodology/approach The basic methodology of this paper is the longitudinal inductive analysis within the conceptual framework of the open innovation proposed by Dahlander and Gann (2010). In this case study of Xiaomi Tech Inc., the open innovation combination is investigated through examining 25 new products created between August 2010 and December 2016 in terms of four general types: acquiring, sourcing, selling and revealing open innovation. Findings In practice, the combination of different types of open innovations can be realized. A firm may combine different open innovations at three levels: a single product level, a related product cluster level and a company level. In addition, different open innovations can be combined in diverse modes. The purpose of combining different types of open innovations is to overcome the disadvantages of each type and to exploit the advantages of all different types. Many factors may affect a firm’s option of how to combine open innovations. At different development stages, a firm may make and implement corresponding strategic direction based on its innovation capacity and internal resource. For a given strategy, the firm needs to create profits and manage intellectual property in the implementation of open innovations. These factors are interacted each other, rather than isolated. Originality/value The findings of this paper are helpful for better understanding how and why an organization can combine different types of open innovations. From a managerial point of view, an organization may combine different types of open innovations to leverage advantages and avoid disadvantages of each certain type of open innovation. An appropriate combination of different open innovations can effectively improve new product development.

High Performance Teams

2016 ◽  
Vol 7 (2) ◽  
pp. 72-82 ◽  
Author(s):  
Caroline Dominguez ◽  
Isabel C. Moura ◽  
João Varajão
Keyword(s):  
High Performance ◽  
Business Environment ◽  
Reward Systems ◽  
Team Management ◽  
Key Factors ◽  
Team Members ◽  
High Performing ◽  
Exploratory Case Study ◽  
Performance Teams

Effective team management is one of the key factors that allow companies to tackle the challenges of today's demanding business environment. Although high-performing teams have been studied for some time, very little has been written on them from the construction industry's perspective. Based on the conclusions of previous work and on a project involving 44 professionals of seven teams, this exploratory case study intends to evaluate if there is a gap between what team members and leaders perceive as being (a) the most important features for managing teams into high performance and (b) the features that are present in their teams. The present study shows that, although teams under investigation had some high-performing features at the leadership dimension, there is room for improvement, in particular when it comes to empowering team members, involving them in planning the work, and creating proper reward systems.

scholarly journals Drivers of Individual Credit Risk of Retail Customers—A Case Study on the Example of the Polish Cooperative Banking Sector

Risks ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 219
Author(s):  
Rafał Balina ◽  
Marta Idasz-Balina
Keyword(s):  
Credit Risk ◽  
Financial Institutions ◽  
Predictive Power ◽  
Banking Sector ◽  
Key Factors ◽  
Logit Regression ◽  
Local Character ◽  
History Of ◽  
Cooperative Banks

The main aim of the research was to determine the key factors determining the level of credit risk of individual clients (clients in the form of natural persons, excluding companies) on the example of Polish cooperative banks according to the following features: transaction characteristics, socio-demographic characteristics of the customer, the customer’s financial situation, the customer’s history of cooperation with the cooperative bank where they applied for a loan, and the customer’s history of cooperation with other financial institutions. For the research gathered data from 1000 credit applications submitted by individual customers when applying for a credit in five different cooperative banks were used for the analyses. To assess the credit risk of retail clients we use logit regression models, and additionally, score cards were calculated. The results of the research indicate that among the factors with high predictive power there were the features characterizing the client’s history of cooperation with the cooperative bank, where they applied for a loan. It may mean that when assessing credit risk related to financing individual customers, cooperative banks due to their local character, have an advantage over other financial institutions.

scholarly journals Why We Go Where We Go: Profiling User Decisions on Choosing POIs

2020 ◽  
Author(s):  
Renjun Hu ◽  
Xinjiang Lu ◽  
Chuanren Liu ◽  
Yanyan Li ◽  
Hao Liu ◽  
...  
Keyword(s):  
Key Factors ◽  
Real World Data ◽  
Decision Factors ◽  
Point Of Interest ◽  
Learning Factor ◽  
Poi Recommendation ◽  
Key Factor ◽  
Selection Of ◽  
Decision Structures

While Point-of-Interest (POI) recommendation has been a popular topic of study for some time, little progress has been made for understanding why and how people make their decisions for the selection of POIs. To this end, in this paper, we propose a user decision profiling framework, named PROUD, which can identify the key factors in people's decisions on choosing POIs. Specifically, we treat each user decision as a set of factors and provide a method for learning factor embeddings. A unique perspective of our approach is to identify key factors, while preserving decision structures seamlessly, via a novel scalar projection maximization objective. Exactly solving the objective is non-trivial due to a sparsity constraint. To address this, our PROUD adopts a self projection attention and an L2 regularized sparse activation to directly estimate the likelihood of each factor to be a key factor. Finally, extensive experiments on real-world data validate the advantage of PROUD in preserving user decision structures. Also, our case study indicates that the identified key decision factors can help us to provide more interpretable recommendations and analyses.

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