Search results

1 – 10 of over 48000
Article
Publication date: 1 February 1991

Davis Folsom

Market intelligence is critical to marketing strategy planning forany business. While considerable study has been made of theintelligence‐gathering practices of large…

Abstract

Market intelligence is critical to marketing strategy planning for any business. While considerable study has been made of the intelligence‐gathering practices of large corporations, very little research has been reported focusing on the competitive information activities of small businesses. The research involved a survey of small business owners and managers in South Carolina, USA. The study addressed three questions: What market intelligence practices do small businesses use? What market intelligence practices do they think their competitors use? How important is market intelligence to small businesses? The market intelligence practices most frequently used are observing competitors and talking with suppliers or delivery people. Small business owners were least likely to use practices such as job interviews or hiring competitors′ employees to gain information. Respondents perceived their competitors as being more likely to pursue market intelligence activities. If a firm used a specific practice, they thought their competitors did also. Among small business owners market intelligence does not appear to be a critical management concern.

Details

Marketing Intelligence & Planning, vol. 9 no. 2
Type: Research Article
ISSN: 0263-4503

Keywords

Article
Publication date: 17 April 2007

Annie Green

The purpose of this paper is to propose a logical approach to identifying and modeling business intelligence from corporate information.

3187

Abstract

Purpose

The purpose of this paper is to propose a logical approach to identifying and modeling business intelligence from corporate information.

Design/methodology/approach

The methodology or approach to identifying business intelligence is based on the cross‐pollination of eight business value drivers. Modeling business intelligence from the hybrid blends of value sources provides a view of business intelligence in more realist dimensions.

Findings

Modeling business intelligence from the hybrid blends of value sources provides a view of business intelligence in more realist dimensions.

Originality/value

Business enterprises are challenged with identifying the primitive components that construct business intelligence within the business. The conceptual model presented in this paper decomposes to the primitive level of information or meta‐data needed to model business intelligence. The primitive level defines the business objects and provides a map to defining the actual business information to capture.

Details

VINE, vol. 37 no. 1
Type: Research Article
ISSN: 0305-5728

Keywords

Article
Publication date: 2 March 2020

Yu Yin Lim and Ai Ping Teoh

This paper posits that business intelligence (BI) utilization is a strategic resource that significantly impacts the business sustainability of Public Listed Companies…

1333

Abstract

Purpose

This paper posits that business intelligence (BI) utilization is a strategic resource that significantly impacts the business sustainability of Public Listed Companies (PLCs) listed on Bursa Malaysia.

Design/methodology/approach

This paper presents a systematic review of the concepts related to business intelligence utilization. Then, the issues of PLCs business sustainability in Malaysia are reviewed. This paper subsequently argues the consequences of business intelligence utilization.

Findings

Based on the synthesis of the key points, this paper justifies the strategic impact of business intelligence utilization on the business sustainability of Malaysian PLCs.

Practical implications

This paper provides significant knowledge for business practitioners to gain insights into the critical role of business intelligence utilization and its strategic impact on business sustainability.

Originality/value

This paper dissects the strategic impact of business intelligence utilization from the perspectives of enhancing economic performance, environmental performance, and social performance.

Details

Strategic Direction, vol. 36 no. 4
Type: Research Article
ISSN: 0258-0543

Keywords

Article
Publication date: 1 May 1991

Jan P. Herring

Business leaders in Japan, Western Europe, and Latin America believe that the chief executives who lead their companies into the twenty‐first century will have to be…

Abstract

Business leaders in Japan, Western Europe, and Latin America believe that the chief executives who lead their companies into the twenty‐first century will have to be fluent in several languages, have extensive international business experience, and will have to cope with an increasing level of international competition. The Japanese leaders considered foreign competition as the primary threat—hence, their emphasis on the importance of language skills and global experience.

Details

Journal of Business Strategy, vol. 12 no. 5
Type: Research Article
ISSN: 0275-6668

Book part
Publication date: 7 October 2015

Azizah Ahmad

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive…

Abstract

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Details

Sustaining Competitive Advantage Via Business Intelligence, Knowledge Management, and System Dynamics
Type: Book
ISBN: 978-1-78441-764-2

Keywords

Article
Publication date: 11 October 2021

Fatemeh Hamidinava, Abdolhamid Ebrahimy, Roohallah Samiee and Hosein Didehkhani

The purpose of this study was to demonstrate a cloud business intelligence model for industrial SMEs. An initial model was developed to accomplish this, followed by…

Abstract

Purpose

The purpose of this study was to demonstrate a cloud business intelligence model for industrial SMEs. An initial model was developed to accomplish this, followed by validation and finalization of the cloud business intelligence model. Additionally, this research employs a mixed-techniques approach, including both qualitative and quantitative methods. This paper aims to achieve the following objectives: (1) Recognize the Cloud business intelligence concepts. (2) Identify the role of cloud BI in SMEs. (3) Identify the factors that affect the design and presenting a Cloud business intelligence model based on critical factors affecting SMEs during pandemic COVID-19. (4) Discuss the importance of Cloud BI in pandemic COVID-19 for SMEs. (5) Provide managerial implications for using Cloud BI effectively in Iran’s SMEs.

Design/methodology/approach

In the current study, an initial model was first proposed, and the cloud business intelligence model was then validated and finalized. Moreover, this study uses a mixed-methods design in which both qualitative and quantitative methods are used. The fuzzy Delphi Method has been applied for parameter validation purposes, and eventually, the Cloud business intelligence model has been presented through exploiting the interpretive structural modeling. The partial least squares method was also applied to validate the model. Data were also analyzed using the MAXQDA and Smart PLS software package.

Findings

In this research, from the elimination of synonym and frequently repeated factors and classification of final factors, six main factors, 24 subfactors and 24 identifiers were discovered from the texts of the relevant papers and interviews conducted with 19 experts in the area of BI and Cloud computing. The main factors of our research include drivers, enablers, competencies, critical success factors, SME characteristics and adoption. The subfactors of included competitors pressure, decision-making time, data access, data analysis and calculations, budget, clear view, clear missions, BI tools, data infrastructure, information merging, business key sector, data owner, business process, data resource, data quality, IT skill, organizational preparedness, innovation orientation, SME characteristics, SME activity, SME structure, BI maturity, standardization, agility, balances between BI systems and business strategies. Then, the quantitative part continued with the fuzzy Delphi technique in which two factors, decision-making time and agility, were deleted in the first round, and the second round was conducted for the rest of the factors. In that step, 24 factors were assessed based on the opinions of 19 experts. In the second round, none of the factors were removed, and thus the Delphi analysis was concluded. Next, data analysis was carried out by building the structural self-interaction matrix to present the model. According to the results, adoptability is a first-level or dependent variable. Regarding the results of interpretive structural modeling (ISM), the variable of critical success factors is a second-level variable. Enablers, competencies and SME characteristics are the third-level and most effective variables of the model. Accordingly, the initial model of Cloud BI for SMEs is presented as follows: The results of ISM revealed the impact of SME characteristics on BI critical success factors and adoptability. Since this category was not an underlying category of BI; thus, it played the role of a moderating variable for the impact of critical success factors on adoptability in the final model.

Research limitations/implications

Since this study is limited to about 100 SMEs in the north of Iran, results should be applied cautiously to SMEs in other countries. Generalizing the study's results to other industries and geographic regions should be done with care since management perceptions, and financial condition of a business vary significantly. Additionally, the topic of business intelligence in SMEs constrained the sample from the start since not all SMEs use business intelligence systems, and others are unaware of their advantages. BI tools enable the effective management of companies of all sizes by providing analytic data and critical performance indicators. In general, SMEs used fewer business intelligence technologies than big companies. According to studies, SMEs understand the value of simplifying their information resources to make critical business choices. Additionally, they are aware of the market's abundance of business intelligence products. However, many SMEs lack the technical knowledge necessary to choose the optimal tool combination. In light of the frequently significant investment required to implement BI approaches, a viable alternative for SMEs may be to adopt cloud computing solutions that enable organizations to strengthen their systems and information technologies on a pay-per-use basis while also providing access to cutting-edge BI technologies at a reasonable price.

Practical implications

Before the implementation of Cloud BI in SMEs, condition of driver, competency and critical success factor of SMEs should also be considered. These will help to define the significant resources and skills that form the strategic edge and lead to the success of Cloud BI projects.

Originality/value

Most of the previous studies have been focused on factors such as critical success factors in cloud business intelligence and cloud computing in small and medium-sized enterprises, cloud business intelligence adoption models, the services used in cloud business intelligence, the factors involved in acceptance of cloud business intelligence, the challenges and advantages of cloud business intelligence, and drivers and barriers to cloud business intelligence. None of the studied resources proposed any comprehensive model for designing and implementing cloud business intelligence in small and medium-sized enterprises; they only investigated some of the aspects of this issue.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 9 April 2019

Mikael Hellström and Ulf Ramberg

The purpose of this paper is to address the perceptions senior public leaders in local government have regarding the need for business intelligence and their perceptions…

627

Abstract

Purpose

The purpose of this paper is to address the perceptions senior public leaders in local government have regarding the need for business intelligence and their perceptions of the extent to which their organizations are capable of effectively assimilating business intelligence.

Design/methodology/approach

The data are from a survey on local governments’ need for and capability to use business intelligence, with a response rate of 50.5 percent, and semi-structured interviews. The survey method originates from private sector research but is adapted to local government conditions in Sweden.

Findings

The leaders’ perceptions about the need for business intelligence were fragmented. Their perceptions regarding its use were even more fragmented, both between different municipalities and within municipalities.

Research limitations/implications

The survey is adapted to local government conditions in Sweden and may need further changes to fit other settings. The adaptation and renewal of questions can lead to summation errors in relation to the original survey.

Practical implications

The paper highlights some of the strategic areas where senior public leaders need to advance their business intelligence and prioritize specific organizational capabilities. The dominant logic, enhancing an inward-looking approach, seems to prevent a more thoroughgoing business analysis.

Originality/value

The adaptation of a method that is mainly used in the private sector can give new perspectives to senior public leaders regarding the need for and use of business intelligence and can help them identify the factors that can affect the complexity and volatility in local government settings.

Details

International Journal of Public Leadership, vol. 15 no. 2
Type: Research Article
ISSN: 2056-4929

Keywords

Article
Publication date: 2 May 2022

Alaa A. Qaffas, Aboobucker Ilmudeen, Najah Kalifah Almazmomi and Ibraheem Mubarak Alharbi

The emerging attention in big data has led businesses to improve big data analytics talent capability to enrich firm performance. The big data capability pays off for some…

Abstract

Purpose

The emerging attention in big data has led businesses to improve big data analytics talent capability to enrich firm performance. The big data capability pays off for some companies but not for all, and it appears that very few have achieved a big impact through big data. Rooted in the latest literature on the knowledge-based view, IT capability, big data talent capability and business intelligence, this study aims to examine how big data talent capability impact on business intelligence infrastructure to achieve firm performance.

Design/methodology/approach

The primary survey data of 272 IT managers and big data analysts from Chinese firms was analyzed by using the structural equation modeling and partial least squares (Smart PLS 3.0). The analysis uncovers a positive and significant relationship in the proposed model.

Findings

The finding shows that the big data analytics talent capability positively impacts on business intelligence infrastructure that in turn directs to achieve firm financial and marketing performance.

Originality/value

This study theorized on the multitheoretic lenses, and findings suggest the managers and industry practitioners to develop business intelligence infrastructure capabilities from big data analytics talent capability.

Details

foresight, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-6689

Keywords

Article
Publication date: 12 July 2021

Fen Ji and Ai Tia

Accurate evaluation of the consequences of new technologies in various industries is of great significance. So, it will be essential to examine the impact of this…

Abstract

Purpose

Accurate evaluation of the consequences of new technologies in various industries is of great significance. So, it will be essential to examine the impact of this technology on the banking industry, representing how to create, deliver and gain value in this industry. This study aims to investigate whether blockchain can affect the business intelligence efficiency of banks. This study also aims to examine the impact of security, fraud reduction and privacy of blockchain, equal and anonymous access to the blockchain, decentralization and sustainability of blockchain, accountability and transparency of blockchain, quality, speed and efficiency of blockchain on business intelligence efficiency.

Design/methodology/approach

Technological changes are creating new challenges and opportunities for various industries. The inability of organizations to adapt to these changes may even lead to their deletion from the market. Blockchain is one of the most critical technologies in recent years. One of the sectors that will undergo significant changes in blockchain technology is the banking industry. According to the reviewed literature in this study, a comprehensive model has been proposed to examine the impact of security, fraud reduction and privacy of blockchain, equal and anonymous access to the blockchain, the decentralization and sustainability of blockchain, accountability and transparency of blockchain and quality, speed and efficiency of blockchain on business intelligence efficiency. A survey method was used to collect data from banks of the Nanjing city. The partial least square technique was used for data analysis.

Findings

The results showed that the fit of the proposed model was very good. Also, all assumptions except one were confirmed. It means that security, fraud reduction and privacy of blockchain factor have a remarkable and positive impact on all aspects of business intelligence efficiency, namely information technology, employees, competitors and customers. Also, equal and anonymous access to the blockchain factor has a positive and significant effect on all aspects of business intelligence efficiency. The decentralization and sustainability of blockchain factors have an impact on business intelligence efficiency. Also, blockchain's accountability and transparency as a fourth factor have a positive and significant impact on all aspects of business intelligence efficiency. Finally, the last factor (quality, speed and efficiency of blockchain) has a positive and significant effect on information technology, employees and customers' dimensions. But, it does not affect the competitors' dimension, and this hypothesis has not been confirmed.

Practical implications

This paper offers valuable insight for business intelligence practitioners into how blockchain technology has the potential to disrupt existing business intelligence provisions.

Originality/value

This paper is one of the first studies to examine the impact of blockchain on IT dimension, organizational employees' dimension, customer dimension and competitors' dimension. It lays a firm foundation for future research.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 1 February 1992

Jan P. Herring

Business intelligence (BI) activities have increased significantly in the US over the past five years—but mainly at the practitioner's level. For various reasons, senior…

Abstract

Business intelligence (BI) activities have increased significantly in the US over the past five years—but mainly at the practitioner's level. For various reasons, senior managers in US companies have not adopted intelligence as a strategic management discipline. As a direct result, the use and effectiveness of BI operations in US firms remain questionable. Until senior executives become more interested and involved in the use of BI, the competitiveness of US companies will be limited by their inability to understand and outthink global competitors.

Details

Journal of Business Strategy, vol. 13 no. 2
Type: Research Article
ISSN: 0275-6668

1 – 10 of over 48000