Best practice in using business intelligence to determine research strategy

2009 ◽  
Vol 13 (2) ◽  
pp. 48-55
Author(s):  
John Green ◽  
Scott Rutherford ◽  
Thomas Turner
2020 ◽  
Vol 19 (1) ◽  
pp. 102-122
Author(s):  
Thomas Blobel ◽  
Martin Lames

AbstractIn professional sports clubs, the growing number of individual IT-systems increases the need for central information systems. Various solutions from different suppliers lead to a fragmented situation in sports. Therefore, a standardized and independent general concept for a club information systems (CIS) is necessary. Due to the different areas involved, an interdisciplinary approach is required, which can be provided by sports informatics. The purpose of this paper is the development of a general and sports informatics driven concept for a CIS, using methods and models of existing areas, especially business intelligence (BI). Software engineering provides general methods and models. Business intelligence addresses similar problems in industry. Therefore, existing best practice models are examined and adapted for sport. From sports science, especially training systems and information systems in sports are considered. Practical relevance is illustrated by an example of Liverpool FC. Based on these areas, the requirements for a CIS are derived, and an architectural concept with its different components is designed and explained. To better understand the practical challenges, a participatory observation was conducted during years of working in sports clubs. This paper provides a new sports informatics approach to the general design and architecture of a CIS using best practice models from BI. It illustrates the complexity of this interdisciplinary topic and the relevance of a sports informatics approach. This paper is meant as a conceptional starting point and shows the need for further work in this field.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lim Xtn Yi ◽  
Filzah Md Isa ◽  
Shaista Noor ◽  
Leilanie Mohd Nor

Purpose Over these recent years, increasing studies have found a higher propensity of firms founded by entrepreneurial teams (ETs) for continuous operation and high performance, compared to firms single-handedly created by an entrepreneur. In spite of the emerging significance of ETs, the number of related studies remains inadequately low, particularly within the context of franchise firms. Therefore, this study aims to explore the factors that influence the ETs’ performance in the Malaysian education and childcare franchise system using a qualitative approach. Design/methodology/approach Qualitative Research Strategy has been adopted and 27 ET leaders participated in this study to get the holistic view of factors influencing the entrepreneurial team (ET) performance in education and childcare franchise in Malaysia. Findings The results highlight the factors (team leadership, team training, team diversity, team processes, team confidence and team mental models) influencing the entrepreneurial team (ET) performance in education and childcare franchise in Malaysia. Originality/value The present study may help to provide useful information to policy makers, which enable them to formulate the strategies franchise ETs performance in Malaysia. As this study provides insight of factors that have an impact on ET performance. A best practice model for education and childcare franchise ETs’ performance is designed.


2013 ◽  
Vol 4 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Agostino Marengo ◽  
Alessandro Pagano ◽  
Alessio Barbone

The huge amount of online conversations that arises from the new means of communication between users, if analyzed and capitalized, is an important resource for companies and brands alike. Thus, a fundamental tool for the management of the relationship with customers such as CRM seems to be exceeded. The concept of a Social CRM platform was born with the objective of filling the gap between brand and customers connected to various social networks, allowing both parties to achieve tangible benefits from active participation. The key objective of this research involves the implementation of a Social CRM system, which is not yet present on the automotive market. The work starts through the identification and implementation of an experimental prototype that can define and highlight a methodological and technological best practice in the integration of heterogeneous components of an information system composed of independent software and continues with the definition of an integrated system that allows innovative Business Intelligence activities.


Ciencia Unemi ◽  
2017 ◽  
Vol 10 (23) ◽  
pp. 40
Author(s):  
Diego Marcelo Cordero Guzman ◽  
Guillermo Rodríguez López

El trabajo propone determinar un conjunto de indicadores acerca del desempeño de las empresas productivas del Cantón La Troncal, provincia del Cañar, Ecuador, para usar la “Inteligencia de Negocios” (Business Intelligence BI) como una mejor práctica que apoye la gestión organizacional y la consecución de los objetivos estratégicos. Para ello primero se levantó información en empresas locales, en base a una muestra específica, con instrumentos del tipo cuestionario y entrevista. Luego, a partir de la información obtenida se diseñó un cuadro de mando integral (Balanced Scorecard) con los indicadores claves de desempeño más significativos para las empresas de la muestra, de modo que se puedan implementar con los servicios multidimensionales que ofrecen las herramientas de Inteligencia de Negocios. Finalmente, los informes se representaron en tableros de control, con un rango de granularidad fino, que permitan a los directivos tomar decisiones claras, reduciendo el grado de incertidumbre. ABSTRACTThe paper aims to determine a set of indicators about the performance of productive enterprises in Canton La Troncal, province of Cañar, Ecuador, to use “Business Intelligence” (Business Intelligence BI) as the best practice that supports organizational management and achievement of the strategic objectives. For this purpose, information was first collected through a survey that was carried out in local companies, based on a specific sample, with questionnaires and interviews. Then, based on the information obtained, a Balanced Scorecard was designed with the most significant key performance indicators for the companies in the sample, so that they can be implemented with the multidimensional services offered by business intelligence tools. Finally, the reports were presented in control panels, with a fine granularity range, which allow managers to make clear decisions, reducing the degree of uncertainty.


2021 ◽  
Vol 9 (2) ◽  
pp. 52
Author(s):  
Yulita Hanum P Iskandar ◽  
Shahrizal Nazri

Purpose: The study strives to determine the outcomes of business intelligence (BI) adoption among Malaysian Higher Education Institutions and factors that affect its adoption. Research methodology: The research design is formulated in the context of a quantitative research strategy for this study. The study used the e-mail survey questionnaire as a method for collecting data. 769 public and private HEIs listed by the Malaysia Qualification Agency participated in the analysis. Structural Equation Mode (SEM) is utilized to collect data.Findings: Overall findings show that HEIs in Malaysia are at the moderate level of BI adoption. Technology: Complexity Environment: Competitive Pressure describes the significant factors of BI adoption among HEIs in Malaysia.Practical implications: The researcher also hopes that the model of this study can be used for analysing other IT adoptions in the context of the HEIs. Also, the researcher expects that the empirical finding in this research from the validated template will provide further knowledge of the benefits of HEIs adoption of BI in Malaysia.Originality/Value: There is insufficient research in the area of BI adoption in HEIs. The objective of this analysis is therefore to assess the factors and results of BI adoption by Malaysian HEIs. The researcher also expects that the model for this study may be used in the review of other IT adoptions in the HEI sense.


2016 ◽  
Vol 15 ◽  
Author(s):  
Hendrik J. Pelser ◽  
Anita Bosch ◽  
Willem Schurink

Orientation: Crises that threaten an organisation’s continued existence cannot be seen in isolation when considering the perception of threats to individual job security. These threats often go hand in hand with employee panic.Research purpose: The aim of this study was to establish a model to assist organisations in managing employee emotionality and panic during times of crisis.Motivation for the study: Environmental crises threaten organisations’ existence, threatening employees’ livelihood and resulting in employee panic. Panic reduces employees’ contributions. Organisations that are successful harness employee contributions at all times.Research design, approach, and method: A modernist qualitative research methodology was adopted, which included a case study as research strategy, purposive sampling to select 12 research participants, semi-structured interviews for data gathering, focus groups for data verification, and the use of grounded theory for data analysis.Main findings: An organisation’s ability to manage employee panic depends on the relationship between the foundational elements of authentic leadership, crisis readiness, resilience practices, versatile and committed talent, strategic management, quality management, and coherence actions taken during the crisis, which include crisis leadership, ongoing visible communication, mindfulness, work flexibility, and decisions based on the greatest financial need and social support.Practical/managerial implications: The study provides a best-practice option for managing emotionality during crises for the case organisation and other organisations within the vehicle components and other manufacturing industries.Contribution/value-add: The Coherence Hexagons Model is presented as a tool to manage employee panic during crisis.Keywords: crisis management; employee emotionality; employee panic; authentic leadership; talent management


2018 ◽  
Vol 7 (4) ◽  
pp. 42-50
Author(s):  
Kgoramele Joseph Oupa Kgasago ◽  
Osden Jokonya

In today’s highly competitive and cumulative uncertainty in the business domain, access to organizations’ business intelligence (BI) can mean not only the difference between profit and loss but also the difference between survival and bankruptcy. The use of Business intelligence systems has become an inevitable requirement for profitability, competitiveness and organisational survival. This study objective is to determine factors that influence users’ acceptance of BI systems in the South African energy sector and develop a conceptual model to explain factors that influence users’ acceptance of BI systems. A survey research strategy was used for the study to empirically test a conceptualised model using collected data. The results of the study found that habit, affect and perceived consequences have a significant influence on users’ acceptance of BI systems. Furthermore, the study discovered that habit influences affect in respect of users’ acceptance of BI systems. The study contributed to literature and body of knowledge on factors that influence users’ acceptance of BI systems in organisations.


Author(s):  
Mounir M. El Khatib ◽  
Khadeegha Alzouebi

This study investigates the concept of Collaborative Business Intelligence in general and specifically in three Dubai governmental entities, which are a part of Dubai Open Data Committee: namely Smart Dubai, Dubai Municipality and RTA, in an attempt to improve collaborative Business Intelligence between the three entities thorough a Smart City Project. A qualitative approach was used to collect data. Secondary data derived from academic articles, scholarly literature formulate the literature review and understand the concepts of business intelligence, collaborative business intelligence in general and how such business intelligence works at the three entities in specific. In addition, primary data was derived from interviews conducted with three senior employees from the top management of Smart Dubai, Dubai Municipality and RTA to help further gain in-depth understanding on how the three entities are collaborating with one another in Smart City Project. The results of the study have revealed that all three entities; Smart Dubai – Dubai Data Establishment, Dubai Municipality, and RTA are adopting business intelligence and collaborative BI. In addition, it is evident that the three entities are sharing data through Dubai Pulse for Smart City Projects. As well, the most used systems and software for analyzing and sharing data among all government entities to support decision-making process. The massive volume of data collected from different source required a huge investment in technology, process and people. In addition, because smart city project is still a new project under implementation and reconstruction, the project has reported few challenges with the implementation of BI, collaboration, and integration within the Municipality, RTA, and Smart Dubai, the key challenge is problem is with raising awareness among personnel and individuals working within in these three entities areas to embrace smart services, typical of collaborative business intelligence. As well as privacy and data security in which Dubai Data Establishment has adopted many strategies and policies to improve. Moreover, Limited research on best practice of BI and collaborative BI in UAE based organizations make it difficult to confirm if the organizations achieve the successful implementation of the collaborative BI and that make this assumption an area for further study.


2013 ◽  
Vol 2 (3) ◽  
pp. 37-48
Author(s):  
Dinesh Kumar

Business Intelligence (BI) uses information technology software, in particular Extensible Markup Language (XML), to provide competitive information in support of competitive risk analysis for executive decision making. Research in the Indian banking industry indicated that BI data suffered from time lag, poor quality, lack of customer-specific data, and improper classification of data. Furthermore, after 1995 there was retail boom in India, which increased the number of banking clients, followed by the use of virtual banking through the Internet, thus increasing the number of transactions. The Reserve Bank of India (RBI) directed all banks to eliminate manual interventions for BI data collection and to establish a centralized BI system by December 31, 2013. This was a problem for the majority of banks who used older systems for BI. This action research study examined how banks were implementing BI while complying with the RBI directive. Several best-practice BI models were developed from interviews with the case study organization and based on analysis of project data.


2019 ◽  
Vol 28 (4) ◽  
pp. 877-894
Author(s):  
Nur Azyani Amri ◽  
Tian Kar Quar ◽  
Foong Yen Chong

Purpose This study examined the current pediatric amplification practice with an emphasis on hearing aid verification using probe microphone measurement (PMM), among audiologists in Klang Valley, Malaysia. Frequency of practice, access to PMM system, practiced protocols, barriers, and perception toward the benefits of PMM were identified through a survey. Method A questionnaire was distributed to and filled in by the audiologists who provided pediatric amplification service in Klang Valley, Malaysia. One hundred eight ( N = 108) audiologists, composed of 90.3% women and 9.7% men (age range: 23–48 years), participated in the survey. Results PMM was not a clinical routine practiced by a majority of the audiologists, despite its recognition as the best clinical practice that should be incorporated into protocols for fitting hearing aids in children. Variations in practice existed warranting further steps to improve the current practice for children with hearing impairment. The lack of access to PMM equipment was 1 major barrier for the audiologists to practice real-ear verification. Practitioners' characteristics such as time constraints, low confidence, and knowledge levels were also identified as barriers that impede the uptake of the evidence-based practice. Conclusions The implementation of PMM in clinical practice remains a challenge to the audiology profession. A knowledge-transfer approach that takes into consideration the barriers and involves effective collaboration or engagement between the knowledge providers and potential stakeholders is required to promote the clinical application of evidence-based best practice.


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